0 00:00:00,000 --> 00:00:30,000 Dear viewer, these subtitles were generated by a machine via the service Trint and therefore are (very) buggy. If you are capable, please help us to create good quality subtitles: https://c3subtitles.de/talk/1396 Thanks! 1 00:00:17,920 --> 00:00:19,809 Most of the speed of light onto the 2 00:00:19,810 --> 00:00:21,909 Tsoukalis OSCA of 3 00:00:21,910 --> 00:00:24,189 the unit soufflés weapon Bembry close 4 00:00:24,190 --> 00:00:26,299 to Paul Graff wouldn't natürlich 5 00:00:26,300 --> 00:00:28,459 show antifascist and 6 00:00:28,460 --> 00:00:30,819 aluminum is very common for 7 00:00:30,820 --> 00:00:33,489 the technical, political society 8 00:00:33,490 --> 00:00:34,490 and resistance. 9 00:00:45,310 --> 00:00:46,310 Michael, 10 00:00:47,740 --> 00:00:49,209 hello. Better now. 11 00:00:49,210 --> 00:00:50,889 OK, cool. 12 00:00:50,890 --> 00:00:51,369 Yeah. 13 00:00:51,370 --> 00:00:53,379 Welcome. My name is Oscar. 14 00:00:53,380 --> 00:00:55,299 My pronouns are he him his. 15 00:00:55,300 --> 00:00:57,429 If you want to address me after the talk. 16 00:00:57,430 --> 00:00:58,899 Come do so. 17 00:00:58,900 --> 00:01:00,729 I will give you a talk called the 18 00:01:00,730 --> 00:01:03,699 technical is political at 19 00:01:03,700 --> 00:01:05,359 about around three topics. 20 00:01:05,360 --> 00:01:07,149 They are not strictly separated from each 21 00:01:07,150 --> 00:01:09,399 other. It's obviously about technology, 22 00:01:09,400 --> 00:01:10,989 but not about quote. 23 00:01:10,990 --> 00:01:12,699 I will not show a single line of code, 24 00:01:12,700 --> 00:01:14,889 but I will really more talk about 25 00:01:14,890 --> 00:01:17,019 technology, about its use and 26 00:01:17,020 --> 00:01:19,479 its misuse in the society 27 00:01:19,480 --> 00:01:21,409 we live on now. 28 00:01:21,410 --> 00:01:23,229 The society has evolved and changed very 29 00:01:23,230 --> 00:01:25,239 much through technology, and I want to 30 00:01:25,240 --> 00:01:27,339 show some of the ways it did. 31 00:01:27,340 --> 00:01:29,469 And lastly, I will talk about 32 00:01:29,470 --> 00:01:31,569 resistance because I personally think 33 00:01:31,570 --> 00:01:33,789 that some of the 34 00:01:33,790 --> 00:01:35,469 things that technology did with our 35 00:01:35,470 --> 00:01:37,809 society, but not necessarily positive. 36 00:01:37,810 --> 00:01:39,999 OK, so some last 37 00:01:40,000 --> 00:01:42,249 remarks before I start and I want to ask 38 00:01:42,250 --> 00:01:44,379 the person DPS, 39 00:01:44,380 --> 00:01:45,939 a dolphin on screen. 40 00:01:45,940 --> 00:01:48,069 So everything I said 41 00:01:48,070 --> 00:01:49,779 has been said before, 42 00:01:49,780 --> 00:01:50,229 and 43 00:01:50,230 --> 00:01:52,689 I'm not the one who said it and mostly 44 00:01:52,690 --> 00:01:55,149 queers or women or people of color, 45 00:01:55,150 --> 00:01:56,530 sometimes all of the above 46 00:01:57,610 --> 00:01:58,689 who said it. 47 00:01:58,690 --> 00:02:00,759 And I don't trust you to 48 00:02:00,760 --> 00:02:02,889 believe me, but I would ask you to 49 00:02:02,890 --> 00:02:04,569 believe them. 50 00:02:04,570 --> 00:02:06,759 Um, secondly, 51 00:02:06,760 --> 00:02:08,409 this talk is very much an introduction, a 52 00:02:08,410 --> 00:02:10,929 cover, a broad range of topics, 53 00:02:10,930 --> 00:02:11,379 but 54 00:02:11,380 --> 00:02:13,539 I will not go into depth 55 00:02:13,540 --> 00:02:15,819 into some of them, so there will be 56 00:02:15,820 --> 00:02:17,319 questions left unanswered. 57 00:02:18,760 --> 00:02:20,979 Yeah. So just please 58 00:02:20,980 --> 00:02:21,980 keep this in mind. 59 00:02:23,110 --> 00:02:25,329 And lastly, if you want 60 00:02:25,330 --> 00:02:27,549 to see the slides, you can find them 61 00:02:27,550 --> 00:02:29,979 at all about OVL Dot Design Slash 62 00:02:29,980 --> 00:02:32,049 S.W., Dash CCC Dash 63 00:02:32,050 --> 00:02:34,329 one nine, all by scanning this 64 00:02:34,330 --> 00:02:35,949 QR code in the top right corner 65 00:02:37,240 --> 00:02:37,599 or 66 00:02:37,600 --> 00:02:39,399 after my talk, I will tweet them at 67 00:02:39,400 --> 00:02:40,889 underscore 0V or B. 68 00:02:42,520 --> 00:02:44,679 Yeah, these are, I think, the opening 69 00:02:44,680 --> 00:02:47,049 remarks. So let's 70 00:02:47,050 --> 00:02:48,549 go somewhere. 71 00:02:48,550 --> 00:02:50,889 I want to tell you a story 72 00:02:50,890 --> 00:02:53,079 and a story that's up some facts that 73 00:02:53,080 --> 00:02:54,529 has some opinions that does have some 74 00:02:54,530 --> 00:02:56,649 swearing because I'm kind of angry 75 00:02:56,650 --> 00:02:58,270 at some of the things I will talk about. 76 00:02:59,710 --> 00:03:01,419 It's a story about connections and 77 00:03:01,420 --> 00:03:02,379 connectivity. 78 00:03:02,380 --> 00:03:04,509 And as we listen 79 00:03:04,510 --> 00:03:06,519 to 21st century, I would kind of be 80 00:03:06,520 --> 00:03:08,829 remiss to not at least briefly 81 00:03:08,830 --> 00:03:10,509 talk about the internet. 82 00:03:10,510 --> 00:03:12,609 And I would like to start with a 83 00:03:12,610 --> 00:03:15,189 bit of like an overview 84 00:03:15,190 --> 00:03:16,299 of the internet. 85 00:03:16,300 --> 00:03:18,339 There is a spoiler. There is no cloud 86 00:03:18,340 --> 00:03:19,780 just out, other computers for Dos. 87 00:03:20,800 --> 00:03:21,800 And so 88 00:03:23,500 --> 00:03:25,599 like most great things, the internet 89 00:03:25,600 --> 00:03:27,219 started from very humble beginnings in 90 00:03:27,220 --> 00:03:29,979 December 1969, like 50 years ago. 91 00:03:29,980 --> 00:03:32,259 The predecessor of the internet, 92 00:03:32,260 --> 00:03:34,869 the ARPANET, which stands for 93 00:03:34,870 --> 00:03:36,999 advanced research projects agency 94 00:03:37,000 --> 00:03:39,639 network with just four universities 95 00:03:39,640 --> 00:03:41,739 connected to each other. 96 00:03:41,740 --> 00:03:43,899 In October 1969, 97 00:03:43,900 --> 00:03:46,149 the first message was sent 98 00:03:46,150 --> 00:03:48,250 on the ARPANET and it was low. 99 00:03:49,510 --> 00:03:51,669 The connection dropped in the middle of 100 00:03:51,670 --> 00:03:53,349 the of the message, which was sent from 101 00:03:53,350 --> 00:03:55,209 the University of California in Los 102 00:03:55,210 --> 00:03:57,459 Angeles to Stanford. 103 00:03:57,460 --> 00:03:59,619 It probably was supposed to be 104 00:03:59,620 --> 00:04:01,539 locked in or loaded, but 105 00:04:01,540 --> 00:04:03,699 time can't tell us anymore. 106 00:04:03,700 --> 00:04:05,769 For us as technicians, this is kind 107 00:04:05,770 --> 00:04:07,779 of a relief because even though often it 108 00:04:07,780 --> 00:04:09,939 started with a buck and every buck we 109 00:04:09,940 --> 00:04:12,429 wrote has some like historical 110 00:04:12,430 --> 00:04:13,959 predecessors. 111 00:04:13,960 --> 00:04:15,939 Now, from then on, 112 00:04:15,940 --> 00:04:18,129 things evolved pretty much. 113 00:04:18,130 --> 00:04:20,139 This is a scheme of the internet from 114 00:04:20,140 --> 00:04:22,269 1997, around 115 00:04:22,270 --> 00:04:24,339 roughly from the Federal Agency 116 00:04:24,340 --> 00:04:26,799 for Security Information Information 117 00:04:26,800 --> 00:04:28,209 US technology. 118 00:04:29,260 --> 00:04:31,479 But it's a bit oldish and 119 00:04:31,480 --> 00:04:33,609 a bit funny, maybe, but it's still 120 00:04:33,610 --> 00:04:35,439 roughly holds up, even though we have no 121 00:04:35,440 --> 00:04:36,440 ISDN anymore. 122 00:04:38,530 --> 00:04:41,139 But roughly, the structure 123 00:04:41,140 --> 00:04:43,509 is the same. We have, like some 124 00:04:43,510 --> 00:04:44,859 internet service providers and we have 125 00:04:44,860 --> 00:04:47,199 content providers like people who host 126 00:04:47,200 --> 00:04:48,189 websites. 127 00:04:48,190 --> 00:04:50,139 We have the domain name system and the 128 00:04:50,140 --> 00:04:51,140 right side. 129 00:04:51,790 --> 00:04:54,069 And we have clients. 130 00:04:54,070 --> 00:04:57,189 And they had like the the 131 00:04:57,190 --> 00:04:59,619 the virtue, the foresight to 132 00:04:59,620 --> 00:05:01,269 make the internet a cloud thing. 133 00:05:01,270 --> 00:05:03,129 Even do I think in 1997, it wasn't 134 00:05:03,130 --> 00:05:04,750 really, really over it already, 135 00:05:06,400 --> 00:05:08,109 but it's only your word. 136 00:05:08,110 --> 00:05:09,729 It's no infrastructural reality. 137 00:05:09,730 --> 00:05:11,379 The infrastructure of reality very much 138 00:05:11,380 --> 00:05:12,380 looks. 139 00:05:12,820 --> 00:05:13,899 Sorry, Adam, 140 00:05:13,900 --> 00:05:14,949 I switch things up 141 00:05:16,240 --> 00:05:18,429 today. We managed to connect more than 50 142 00:05:18,430 --> 00:05:20,589 percent, almost 60 percent 143 00:05:20,590 --> 00:05:22,749 to the internet, which is kind 144 00:05:22,750 --> 00:05:23,859 of amazing given 145 00:05:25,070 --> 00:05:27,309 the size of the Earth. 146 00:05:27,310 --> 00:05:29,499 But this also means that almost 147 00:05:29,500 --> 00:05:31,599 60 percent are almost 148 00:05:31,600 --> 00:05:33,369 40 percent are not connected to the 149 00:05:33,370 --> 00:05:35,499 internet and how they will be connected 150 00:05:35,500 --> 00:05:37,599 to the internet. Very, very much how 151 00:05:37,600 --> 00:05:40,209 they experience the internet. 152 00:05:40,210 --> 00:05:41,139 For us, 153 00:05:41,140 --> 00:05:43,089 we probably have to promise and mind off 154 00:05:43,090 --> 00:05:44,709 the internet was going to. 155 00:05:44,710 --> 00:05:46,509 Give voice to the voiceless, visibility 156 00:05:46,510 --> 00:05:48,219 to the invisible and power to the 157 00:05:48,220 --> 00:05:49,459 powerless. 158 00:05:49,460 --> 00:05:51,069 This is a quote from an article by Mike 159 00:05:51,070 --> 00:05:53,559 Monteiro, who was an activist 160 00:05:53,560 --> 00:05:55,629 and writer who writes very, 161 00:05:55,630 --> 00:05:57,909 very much about technology 162 00:05:57,910 --> 00:05:59,829 and power dynamics and technologies and 163 00:05:59,830 --> 00:06:02,139 how we have to fight, and I refer to 164 00:06:02,140 --> 00:06:02,389 him 165 00:06:02,390 --> 00:06:03,580 often going on. 166 00:06:05,320 --> 00:06:07,239 Yeah. So this is kind of the promise that 167 00:06:07,240 --> 00:06:10,059 we maybe grew up over that we experienced 168 00:06:10,060 --> 00:06:12,159 when we when we 169 00:06:12,160 --> 00:06:14,319 got connected to the internet. 170 00:06:14,320 --> 00:06:16,419 Now quickly reality 171 00:06:16,420 --> 00:06:18,519 check. This is more 172 00:06:18,520 --> 00:06:20,649 likely the central infrastructure 173 00:06:20,650 --> 00:06:22,779 of the internet is deep sea cables 174 00:06:22,780 --> 00:06:24,579 running around the oceans. 175 00:06:24,580 --> 00:06:26,679 This is a projection how it would 176 00:06:26,680 --> 00:06:29,529 look like by 2021. 177 00:06:29,530 --> 00:06:31,209 You can see basically every continent is 178 00:06:31,210 --> 00:06:33,459 connected by more by many strength. 179 00:06:34,660 --> 00:06:35,949 This is a graphic from the New York 180 00:06:35,950 --> 00:06:37,359 Times. 181 00:06:37,360 --> 00:06:39,459 They ran an article where they 182 00:06:39,460 --> 00:06:40,719 explained 183 00:06:40,720 --> 00:06:41,720 the 184 00:06:42,500 --> 00:06:44,739 the the 185 00:06:44,740 --> 00:06:46,899 technology behind it, and 186 00:06:46,900 --> 00:06:48,519 I forgot one thing to link for the 187 00:06:48,520 --> 00:06:50,859 slides. There's also an exhaustive list 188 00:06:50,860 --> 00:06:51,909 of resources. 189 00:06:51,910 --> 00:06:53,979 Basically, everything I say has a kind 190 00:06:53,980 --> 00:06:55,119 of going deeper. 191 00:06:55,120 --> 00:06:57,099 Article I will also show the link at the 192 00:06:57,100 --> 00:06:58,409 end again. 193 00:06:58,410 --> 00:06:59,919 So if you're interested in something that 194 00:06:59,920 --> 00:07:02,109 I mentioned, the page will 195 00:07:02,110 --> 00:07:03,819 help you out. This article, for example, 196 00:07:03,820 --> 00:07:04,820 is LinkedIn. 197 00:07:05,410 --> 00:07:07,690 But this this 198 00:07:08,800 --> 00:07:11,019 graphic also shows the yellow 199 00:07:11,020 --> 00:07:12,849 strength and the yellow strings are 200 00:07:12,850 --> 00:07:15,039 cables that are owned or will be 201 00:07:15,040 --> 00:07:16,689 owned by Amazon, Facebook, Google or 202 00:07:16,690 --> 00:07:19,749 Microsoft, so they are owned by 203 00:07:19,750 --> 00:07:20,379 by private 204 00:07:20,380 --> 00:07:22,659 companies. And as we see 205 00:07:22,660 --> 00:07:24,459 the breadth and the width of of the 206 00:07:24,460 --> 00:07:26,559 internet and how many people 207 00:07:26,560 --> 00:07:28,929 are connected to it, it feels 208 00:07:28,930 --> 00:07:30,129 like a public good. 209 00:07:30,130 --> 00:07:30,909 But still 210 00:07:30,910 --> 00:07:31,239 more and 211 00:07:31,240 --> 00:07:33,279 more of the infrastructure of the central 212 00:07:33,280 --> 00:07:35,349 infrastructure is privately owned, and 213 00:07:35,350 --> 00:07:37,779 I think there's just something clashing 214 00:07:37,780 --> 00:07:38,780 there 215 00:07:39,220 --> 00:07:40,059 and it 216 00:07:40,060 --> 00:07:42,249 is OK as long as these companies 217 00:07:42,250 --> 00:07:44,379 don't make their 218 00:07:44,380 --> 00:07:45,399 interest count. 219 00:07:46,480 --> 00:07:47,889 I think they will at one point. 220 00:07:50,380 --> 00:07:52,869 And besides the 221 00:07:52,870 --> 00:07:55,149 private owned infrastructure, 222 00:07:55,150 --> 00:07:56,569 there's also another thing more and more 223 00:07:56,570 --> 00:07:58,179 states are trying to centralize the 224 00:07:58,180 --> 00:08:00,249 internet infrastructure into like central 225 00:08:00,250 --> 00:08:01,250 access points. 226 00:08:01,960 --> 00:08:03,879 And the Mozilla Health of the Internet 227 00:08:03,880 --> 00:08:05,949 Report 2019 reported 228 00:08:06,970 --> 00:08:09,279 that there were 188 229 00:08:09,280 --> 00:08:11,499 shutdowns in 2018. 230 00:08:11,500 --> 00:08:13,449 A shutdown is not a router failing or 231 00:08:13,450 --> 00:08:15,309 something. A shutdown is a region or a 232 00:08:15,310 --> 00:08:17,409 complete country disconnected from 233 00:08:17,410 --> 00:08:19,359 the internet, basically not being able to 234 00:08:19,360 --> 00:08:20,360 use it anymore. 235 00:08:28,570 --> 00:08:30,609 For example, largely 236 00:08:30,610 --> 00:08:32,259 unnoticed in the Western media, the 237 00:08:32,260 --> 00:08:34,389 longest shutdown of of a complete 238 00:08:34,390 --> 00:08:36,548 region is currently going on in Kashmir 239 00:08:36,549 --> 00:08:38,678 and India. It's offline since four 240 00:08:38,679 --> 00:08:39,679 months. 241 00:08:40,539 --> 00:08:42,639 This is the longest shutdown under 242 00:08:42,640 --> 00:08:44,079 democracy of the whole internet. 243 00:08:44,080 --> 00:08:46,029 There have been longer shutdowns of 244 00:08:46,030 --> 00:08:47,559 single services, social media, for 245 00:08:47,560 --> 00:08:48,560 example. 246 00:08:49,570 --> 00:08:50,709 But they're like whole. 247 00:08:50,710 --> 00:08:52,809 Kashmir is currently not connected to the 248 00:08:52,810 --> 00:08:54,759 internet anymore, and this is just one of 249 00:08:54,760 --> 00:08:57,129 many cases in 2019 also 250 00:08:57,130 --> 00:08:58,130 currently going on. 251 00:08:59,140 --> 00:09:01,239 But even if people are connected 252 00:09:01,240 --> 00:09:03,339 to the internet, their connection to the 253 00:09:03,340 --> 00:09:05,949 internet might look like this. 254 00:09:05,950 --> 00:09:08,649 They are probably and 255 00:09:08,650 --> 00:09:10,809 sometimes only Experian. 256 00:09:10,810 --> 00:09:13,209 Experian. Facebook There has been 257 00:09:13,210 --> 00:09:15,549 one survey by a researcher called 258 00:09:15,550 --> 00:09:18,729 Telenor Indonesia in 2015, 259 00:09:18,730 --> 00:09:20,499 where she found the staggering number 260 00:09:20,500 --> 00:09:20,949 that more 261 00:09:20,950 --> 00:09:22,869 people are 262 00:09:22,870 --> 00:09:24,639 saying they're using Facebook than that 263 00:09:24,640 --> 00:09:25,599 they're using the internet. 264 00:09:25,600 --> 00:09:27,729 And she thought at first there has to 265 00:09:27,730 --> 00:09:29,319 be something wrong with the numbers 266 00:09:29,320 --> 00:09:30,909 because obviously Facebook is using the 267 00:09:30,910 --> 00:09:33,009 internet, but they they are so 268 00:09:33,010 --> 00:09:34,239 connected to Facebook. 269 00:09:34,240 --> 00:09:36,009 They basically just use the Facebook app 270 00:09:36,010 --> 00:09:37,010 and 271 00:09:37,510 --> 00:09:39,609 they they are so, so 272 00:09:39,610 --> 00:09:42,009 and entrenched in the Facebook ecosystem 273 00:09:42,010 --> 00:09:45,219 that they think Facebook is the thing. 274 00:09:45,220 --> 00:09:46,720 There is no internet, it's just Facebook. 275 00:09:48,730 --> 00:09:50,829 Now, if you are working for Facebook, 276 00:09:50,830 --> 00:09:52,689 you can say this is a success. 277 00:09:52,690 --> 00:09:54,849 I think that's dangerous as 278 00:09:54,850 --> 00:09:56,919 fuck because we know 279 00:09:56,920 --> 00:09:57,639 how 280 00:09:57,640 --> 00:09:59,939 a magnificently Facebook managed to 281 00:09:59,940 --> 00:10:01,509 look good for everything they touch, 282 00:10:01,510 --> 00:10:02,510 basically. 283 00:10:04,030 --> 00:10:06,249 OK, so this was kind 284 00:10:06,250 --> 00:10:08,379 of the basic connection part. 285 00:10:08,380 --> 00:10:11,079 The thing with Facebook centralizing 286 00:10:11,080 --> 00:10:12,759 access to the internet also shows 287 00:10:12,760 --> 00:10:14,889 something something else, and they 288 00:10:14,890 --> 00:10:16,579 want to be a topic. 289 00:10:16,580 --> 00:10:19,569 And in the next section, 290 00:10:19,570 --> 00:10:20,919 it's called the web. 291 00:10:20,920 --> 00:10:22,989 We lost and this is a 292 00:10:22,990 --> 00:10:25,449 quote that I kind of stole 293 00:10:25,450 --> 00:10:27,759 by Anil, that she was an activist 294 00:10:27,760 --> 00:10:30,159 and an entrepreneur, working 295 00:10:30,160 --> 00:10:32,559 and then trying to build meaningful 296 00:10:32,560 --> 00:10:34,689 technology. And she wrote this piece 297 00:10:34,690 --> 00:10:36,879 in 2012, and she gave many examples, like 298 00:10:36,880 --> 00:10:38,229 Technorati, which some of you might 299 00:10:38,230 --> 00:10:40,419 remember which were offline 10 years 300 00:10:40,420 --> 00:10:42,579 ago already. So just what we lost might 301 00:10:42,580 --> 00:10:44,739 not be more like a distant memory 302 00:10:44,740 --> 00:10:46,599 for some of us. Some maybe have never 303 00:10:46,600 --> 00:10:47,600 experienced that. 304 00:10:49,180 --> 00:10:52,239 And she starts this article like this. 305 00:10:52,240 --> 00:10:54,189 The tech industry and its press have 306 00:10:54,190 --> 00:10:55,509 treated the rise of billions. 307 00:10:55,510 --> 00:10:57,609 Scale social networks and ubiquitous 308 00:10:57,610 --> 00:10:59,709 ones from apps as an adult 309 00:10:59,710 --> 00:11:01,690 would win for regular people. 310 00:11:03,100 --> 00:11:05,229 He goes on to say they seldom talk about 311 00:11:05,230 --> 00:11:07,089 what we have lost along the way in this 312 00:11:07,090 --> 00:11:09,039 transition. I want to talk about some of 313 00:11:09,040 --> 00:11:11,319 the some of the things we lost. 314 00:11:11,320 --> 00:11:12,519 And I want to start with maybe an 315 00:11:12,520 --> 00:11:14,109 unlikely candidate. 316 00:11:14,110 --> 00:11:15,909 This is coming from MySpace, who some of 317 00:11:15,910 --> 00:11:17,649 you might remember because he was the 318 00:11:17,650 --> 00:11:19,749 first top front we got 319 00:11:19,750 --> 00:11:21,939 on MySpace and state our top friend 320 00:11:21,940 --> 00:11:23,829 basically till the end until he luckily 321 00:11:23,830 --> 00:11:25,210 lost all of our data. 322 00:11:27,130 --> 00:11:29,139 An unlikely candidate because MySpace 323 00:11:29,140 --> 00:11:31,029 very much feels like a centralized 324 00:11:31,030 --> 00:11:31,939 platform, right? 325 00:11:31,940 --> 00:11:34,509 Had just MySpace and MySpace profile, 326 00:11:34,510 --> 00:11:36,279 but MySpace enabled something. 327 00:11:36,280 --> 00:11:38,049 MySpace enabled something like this, 328 00:11:39,610 --> 00:11:41,559 which is 329 00:11:41,560 --> 00:11:43,899 probably like the top of that design, 330 00:11:43,900 --> 00:11:44,900 ever. 331 00:11:45,400 --> 00:11:47,799 But and just is vitally important. 332 00:11:47,800 --> 00:11:49,389 This is personal. This is something 333 00:11:49,390 --> 00:11:51,669 someone built. Someone sat there 334 00:11:51,670 --> 00:11:54,069 and added two ounces to their MySpace 335 00:11:54,070 --> 00:11:55,779 profile and made it their own. 336 00:11:57,490 --> 00:11:59,109 They didn't necessarily own the 337 00:11:59,110 --> 00:12:00,489 infrastructure, but they owned. 338 00:12:00,490 --> 00:12:02,469 The design was their personal MySpace 339 00:12:02,470 --> 00:12:04,989 page. No other page looked like this. 340 00:12:04,990 --> 00:12:07,539 For better or worse, my pictures 341 00:12:07,540 --> 00:12:08,949 probably looked even worse. 342 00:12:08,950 --> 00:12:10,959 But it enabled us to learn this as to 343 00:12:10,960 --> 00:12:13,119 learn HTML to get the kind of entry point 344 00:12:13,120 --> 00:12:15,549 into into working with technology. 345 00:12:17,950 --> 00:12:20,049 To quote Mike Monteiro again of the 346 00:12:20,050 --> 00:12:22,149 article I mentioned at the 347 00:12:22,150 --> 00:12:23,349 beginning of the internet or the 348 00:12:23,350 --> 00:12:25,479 worldwide web, we kind of put our stories 349 00:12:25,480 --> 00:12:27,789 and songs and messages and artwork 350 00:12:27,790 --> 00:12:29,889 where the world could find them for a 351 00:12:29,890 --> 00:12:31,809 while. It was beautiful. 352 00:12:31,810 --> 00:12:34,809 It was messy and it was punk as fuck 353 00:12:34,810 --> 00:12:35,319 and how 354 00:12:35,320 --> 00:12:36,320 punk it has been. 355 00:12:39,310 --> 00:12:41,109 This is a screenshot of a GeoCities page, 356 00:12:41,110 --> 00:12:43,329 which was another hosting platform 357 00:12:43,330 --> 00:12:46,089 where you could put your important 358 00:12:46,090 --> 00:12:47,619 kind of important things on there and 359 00:12:47,620 --> 00:12:49,300 kind of work with work with the web. 360 00:12:50,380 --> 00:12:52,539 It reached the large comic sense letters. 361 00:12:52,540 --> 00:12:54,399 If you study the material on this 362 00:12:54,400 --> 00:12:57,159 website, you will hopefully understand 363 00:12:57,160 --> 00:12:59,979 what our purpose on Earth has been. 364 00:12:59,980 --> 00:13:01,659 This page is intended to be useful as 365 00:13:01,660 --> 00:13:03,189 written in smaller letters at the top. 366 00:13:03,190 --> 00:13:04,599 I don't know if you are able to reach us 367 00:13:04,600 --> 00:13:06,969 and reach welcome home, and I feel 368 00:13:06,970 --> 00:13:08,559 very much like home, and I believe 369 00:13:08,560 --> 00:13:10,059 someone had the time of their life 370 00:13:10,060 --> 00:13:11,060 building this website. 371 00:13:11,920 --> 00:13:14,349 Really, this must be a ton of fun 372 00:13:14,350 --> 00:13:15,639 to have happening there. 373 00:13:15,640 --> 00:13:16,929 And then some 374 00:13:16,930 --> 00:13:18,669 usefulness. Maybe I don't know because I 375 00:13:18,670 --> 00:13:20,109 can't look it up. 376 00:13:20,110 --> 00:13:21,789 Today we are more or less stuck like 377 00:13:21,790 --> 00:13:23,499 this, or most people are stuck like this 378 00:13:23,500 --> 00:13:24,999 with the standard Facebook news stream. 379 00:13:25,000 --> 00:13:26,299 Just basically. In nothing we can do 380 00:13:26,300 --> 00:13:28,069 about it. We can post links there and 381 00:13:28,070 --> 00:13:30,319 stuff, but we can't make it beautiful. 382 00:13:30,320 --> 00:13:33,289 We can't, we can't make it ours anymore. 383 00:13:33,290 --> 00:13:35,509 And no, naturally I'm designers have 384 00:13:35,510 --> 00:13:37,339 talked a bit about design and try to 385 00:13:37,340 --> 00:13:38,869 illustrate this design. 386 00:13:38,870 --> 00:13:40,220 But we haven't lost design 387 00:13:41,870 --> 00:13:43,429 to quote any trash again. 388 00:13:43,430 --> 00:13:45,559 We have lost key features that we used to 389 00:13:45,560 --> 00:13:46,849 rely on and worse. 390 00:13:46,850 --> 00:13:49,069 We have abandoned core values that used 391 00:13:49,070 --> 00:13:50,679 to be fundamental to the web world. 392 00:13:52,490 --> 00:13:54,409 He goes on in this article, naming 393 00:13:54,410 --> 00:13:57,049 examples failed big technology companies 394 00:13:57,050 --> 00:13:58,909 cooperating together to solve a goal 395 00:13:58,910 --> 00:14:00,409 which basically does not happen anymore 396 00:14:00,410 --> 00:14:01,879 and platform capitalism and surveillance 397 00:14:01,880 --> 00:14:03,919 capitalism. Twitter Both Twitter and its 398 00:14:03,920 --> 00:14:05,869 proprietary formats of data that you have 399 00:14:05,870 --> 00:14:07,129 and better into, you've appeared for 400 00:14:07,130 --> 00:14:08,929 Twitter and Facebook does the same for 401 00:14:08,930 --> 00:14:10,579 Facebook. And there's there's no 402 00:14:10,580 --> 00:14:11,509 collaboration anymore. 403 00:14:11,510 --> 00:14:13,399 Basically, everything every platform 404 00:14:13,400 --> 00:14:15,179 tries to tries to win. 405 00:14:16,400 --> 00:14:18,829 So we have lost 406 00:14:18,830 --> 00:14:20,929 the access to make stuff our own. 407 00:14:20,930 --> 00:14:23,359 We have lost the sense of openness 408 00:14:23,360 --> 00:14:24,589 and we have lost the sense of 409 00:14:24,590 --> 00:14:25,699 collaboration. 410 00:14:25,700 --> 00:14:27,919 And overall, we have 411 00:14:27,920 --> 00:14:30,019 lost the ownership of our 412 00:14:30,020 --> 00:14:32,179 data and our content by mostly pushing it 413 00:14:32,180 --> 00:14:34,879 into into one of the platforms and not 414 00:14:34,880 --> 00:14:36,499 building our own infrastructures. 415 00:14:36,500 --> 00:14:38,749 So I would go so far 416 00:14:38,750 --> 00:14:41,149 as to say that we kind of lost, 417 00:14:41,150 --> 00:14:42,150 lost our voice. 418 00:14:44,090 --> 00:14:45,199 But still, 419 00:14:45,200 --> 00:14:47,239 the web can be a plethora like 420 00:14:47,240 --> 00:14:49,099 intermingling of all kind of awesome 421 00:14:49,100 --> 00:14:50,599 things that are still very awesome 422 00:14:50,600 --> 00:14:51,919 websites out there. 423 00:14:51,920 --> 00:14:53,419 Some are, 424 00:14:53,420 --> 00:14:55,429 like all human knowledge. 425 00:14:55,430 --> 00:14:57,859 Some are like helping 426 00:14:57,860 --> 00:14:59,009 helping out other people. 427 00:14:59,010 --> 00:15:01,459 So there is still awesomeness on the web, 428 00:15:01,460 --> 00:15:01,729 on the 429 00:15:01,730 --> 00:15:02,730 web 430 00:15:04,130 --> 00:15:05,899 and the web can be a plethora of 431 00:15:05,900 --> 00:15:07,819 creepiness. We don't have to have 432 00:15:07,820 --> 00:15:09,319 experience running dot com or similar 433 00:15:09,320 --> 00:15:10,999 sites to know that there's stuff on the 434 00:15:11,000 --> 00:15:12,979 internet which is not necessarily want to 435 00:15:12,980 --> 00:15:15,379 see really that we maybe 436 00:15:15,380 --> 00:15:16,399 just want to forget. 437 00:15:17,420 --> 00:15:19,639 But some of this is harmful 438 00:15:19,640 --> 00:15:21,919 of rest as harmless summit as harmful, 439 00:15:21,920 --> 00:15:23,330 and we'll talk about this in a second. 440 00:15:24,860 --> 00:15:27,049 So the web really can be can 441 00:15:27,050 --> 00:15:28,009 be everything. 442 00:15:28,010 --> 00:15:30,529 And I think that it's very vital 443 00:15:30,530 --> 00:15:32,659 that we need to be aware of this and 444 00:15:32,660 --> 00:15:35,029 we try to preserve this, that we 445 00:15:35,030 --> 00:15:37,609 fight against the idea of states 446 00:15:37,610 --> 00:15:39,709 centralizing the infrastructure and fight 447 00:15:39,710 --> 00:15:41,179 against these shutdowns, that we fight 448 00:15:41,180 --> 00:15:43,219 for net neutrality and that we fight for 449 00:15:43,220 --> 00:15:45,109 open access to our data and our content. 450 00:15:46,910 --> 00:15:48,979 OK, so it might be easy to 451 00:15:48,980 --> 00:15:50,690 say right the weapons for everyone 452 00:15:51,920 --> 00:15:54,169 because I just thought it is right. 453 00:15:55,400 --> 00:15:57,559 But I want to rephrase this as 454 00:15:57,560 --> 00:15:59,689 as a question for a moment, 455 00:15:59,690 --> 00:15:59,959 and 456 00:15:59,960 --> 00:16:01,909 I would give you an example. 457 00:16:01,910 --> 00:16:04,459 This is a screenshot by 458 00:16:05,510 --> 00:16:07,459 from a tweet of Michael Kosky, who's a 459 00:16:07,460 --> 00:16:08,989 feminist writer in Germany, a very 460 00:16:08,990 --> 00:16:10,729 reclaimed, one of the most popular in a 461 00:16:10,730 --> 00:16:12,709 moment and great at this. 462 00:16:12,710 --> 00:16:14,509 She just published a paperback of the 463 00:16:14,510 --> 00:16:16,009 last book, The Last Days of the 464 00:16:16,010 --> 00:16:17,749 Patriarchy, Patriarchy, 465 00:16:17,750 --> 00:16:18,139 and 466 00:16:18,140 --> 00:16:19,069 it took, I 467 00:16:19,070 --> 00:16:21,559 think, an hour 468 00:16:21,560 --> 00:16:24,199 until some guys showed up and 469 00:16:24,200 --> 00:16:25,759 asked, Why don't you cry babies? 470 00:16:25,760 --> 00:16:27,119 Just do your own thing? 471 00:16:27,120 --> 00:16:29,209 So, you know, without men, start your 472 00:16:29,210 --> 00:16:31,279 own companies and destructive 473 00:16:31,280 --> 00:16:32,029 dement. 474 00:16:32,030 --> 00:16:33,379 Are you afraid of that or what? 475 00:16:34,460 --> 00:16:35,869 And I chose this for two reasons. 476 00:16:35,870 --> 00:16:37,759 One, I have to give this talk and light 477 00:16:37,760 --> 00:16:39,109 document because of the screen. 478 00:16:39,110 --> 00:16:41,029 And when I give the first version of this 479 00:16:41,030 --> 00:16:42,889 talk, I have just another tweet of 480 00:16:42,890 --> 00:16:44,959 enlightenment. I went back to the 481 00:16:44,960 --> 00:16:46,709 example I quoted for Gun, so it looked at 482 00:16:46,710 --> 00:16:49,009 the timeline and she 483 00:16:49,010 --> 00:16:51,139 put just posted to three hours ago and 484 00:16:51,140 --> 00:16:53,179 her comments were full with stuff like 485 00:16:53,180 --> 00:16:55,339 this. And second, because it's really 486 00:16:55,340 --> 00:16:57,839 easy to go full O'Reilly on this and say 487 00:16:57,840 --> 00:17:00,659 this this was basically stupid, right? 488 00:17:00,660 --> 00:17:01,660 But 489 00:17:03,230 --> 00:17:06,078 harassment, be it physical abuse, digital 490 00:17:06,079 --> 00:17:07,009 isn't harmless. 491 00:17:07,010 --> 00:17:08,809 And why just example? 492 00:17:08,810 --> 00:17:10,879 The single example might be easy to 493 00:17:10,880 --> 00:17:13,608 dismiss or kind of the 494 00:17:13,609 --> 00:17:15,889 ongoing torrent of hate and vitriol 495 00:17:15,890 --> 00:17:17,959 that women of queers of 496 00:17:17,960 --> 00:17:19,909 people of color have to experience online 497 00:17:19,910 --> 00:17:22,338 as soon as they are 498 00:17:22,339 --> 00:17:23,719 or as soon as they make their voices 499 00:17:23,720 --> 00:17:24,529 heard 500 00:17:24,530 --> 00:17:26,029 is isn't 501 00:17:26,030 --> 00:17:27,139 isn't harmless at all. 502 00:17:30,020 --> 00:17:32,179 And often we talk about free speech 503 00:17:32,180 --> 00:17:34,369 and how we have to have how we have 504 00:17:34,370 --> 00:17:36,559 to right to say everything. 505 00:17:36,560 --> 00:17:39,229 I want to quote a woman of color on this 506 00:17:39,230 --> 00:17:41,209 Tatiana Mac, who wrote Canary in the coal 507 00:17:41,210 --> 00:17:43,009 mine one of the most. 508 00:17:43,010 --> 00:17:45,259 Or that first, she wrote, 509 00:17:45,260 --> 00:17:46,819 We must protect safety of all speech. 510 00:17:46,820 --> 00:17:48,319 And she wrote so in the wake of the 511 00:17:48,320 --> 00:17:50,089 Christchurch attacks on March, 512 00:17:51,560 --> 00:17:51,679 a 513 00:17:51,680 --> 00:17:53,539 lot in the wake and the aftermath of the 514 00:17:53,540 --> 00:17:54,540 Christchurch attacks. 515 00:17:56,060 --> 00:17:58,279 And in this piece, she goes very 516 00:17:58,280 --> 00:18:00,799 into depth. So technology 517 00:18:00,800 --> 00:18:03,469 is failing endangered 518 00:18:03,470 --> 00:18:05,809 endangered groups, not just on the 519 00:18:05,810 --> 00:18:07,969 on the world wide web, but in the digital 520 00:18:07,970 --> 00:18:10,339 realm in general. 521 00:18:10,340 --> 00:18:12,139 If you read one thing I mention here, I 522 00:18:12,140 --> 00:18:14,119 would please ask you to read this because 523 00:18:14,120 --> 00:18:15,829 this is really, really, really important. 524 00:18:15,830 --> 00:18:16,830 OK, great. 525 00:18:18,380 --> 00:18:19,380 OK, so. 526 00:18:22,740 --> 00:18:24,439 We have to protect the safety of those 527 00:18:24,440 --> 00:18:26,659 who are online about speech, 528 00:18:26,660 --> 00:18:28,609 of those who are already speaking all the 529 00:18:28,610 --> 00:18:30,140 time and are very loud anyway. 530 00:18:31,430 --> 00:18:33,349 And as soon as you hear it, you guessed 531 00:18:33,350 --> 00:18:35,419 it, some red and white guy talk comes up 532 00:18:35,420 --> 00:18:36,889 and says, you really aren't allowed to 533 00:18:36,890 --> 00:18:37,939 say anything a woman. 534 00:18:37,940 --> 00:18:39,709 I mean, well, free speech and all 911 was 535 00:18:39,710 --> 00:18:41,209 an inside job. 536 00:18:41,210 --> 00:18:43,309 And I have 537 00:18:43,310 --> 00:18:44,719 a very simple answer to this, which is 538 00:18:44,720 --> 00:18:46,789 shut the fuck up, but would shut the fuck 539 00:18:46,790 --> 00:18:49,009 up. You basically are not going to 540 00:18:49,010 --> 00:18:50,689 into some kind of health discourse. 541 00:18:50,690 --> 00:18:53,209 So obviously why you correct 542 00:18:53,210 --> 00:18:55,759 this can't be the descent 543 00:18:55,760 --> 00:18:57,199 of the of 544 00:18:57,200 --> 00:18:58,369 our 545 00:18:58,370 --> 00:18:59,370 work against us. 546 00:19:01,130 --> 00:19:03,199 We have to kind of talk about what is 547 00:19:03,200 --> 00:19:05,239 free speech, what enables free speech, 548 00:19:05,240 --> 00:19:07,369 and are you allowed 549 00:19:07,370 --> 00:19:08,779 to say anything no more? 550 00:19:08,780 --> 00:19:10,099 Are you just constantly saying 551 00:19:10,100 --> 00:19:11,480 everything? I think they are. 552 00:19:13,190 --> 00:19:15,229 To quote Nasrin Malik from his speech, 553 00:19:15,230 --> 00:19:17,539 The Myth of the Free Speech Crisis. 554 00:19:17,540 --> 00:19:19,669 She said that the purpose 555 00:19:19,670 --> 00:19:21,409 of this free speech crisis myth or the 556 00:19:21,410 --> 00:19:22,669 myth that you aren't allowed to say 557 00:19:22,670 --> 00:19:24,919 anything normal is to guilt people 558 00:19:24,920 --> 00:19:26,639 into giving up the right of response to 559 00:19:26,640 --> 00:19:28,729 attacks and to destigmatize 560 00:19:28,730 --> 00:19:31,549 racism and prejudice. 561 00:19:31,550 --> 00:19:33,769 She goes on to say it aims 562 00:19:33,770 --> 00:19:36,379 to blackmail good people into ceding 563 00:19:36,380 --> 00:19:38,689 space to bad ideas, even though 564 00:19:38,690 --> 00:19:40,699 to have a legitimate right to refuse. 565 00:19:40,700 --> 00:19:42,679 And I want to stress this. 566 00:19:42,680 --> 00:19:45,319 We have a legitimate right to refuse. 567 00:19:45,320 --> 00:19:47,480 There's nothing in the world that should 568 00:19:49,070 --> 00:19:51,139 that should have to 569 00:19:51,140 --> 00:19:53,299 us stepping back and not saying 570 00:19:53,300 --> 00:19:55,579 something against the hate online or 571 00:19:55,580 --> 00:19:56,779 in the real world. 572 00:19:56,780 --> 00:19:58,639 We have the right to refuse and we have 573 00:19:58,640 --> 00:20:00,169 to use this. 574 00:20:00,170 --> 00:20:02,509 So yes, the web is 575 00:20:02,510 --> 00:20:03,499 for everyone, 576 00:20:03,500 --> 00:20:04,639 but 577 00:20:04,640 --> 00:20:07,939 we can't let this hate that is online 578 00:20:07,940 --> 00:20:08,940 go unchecked. 579 00:20:10,970 --> 00:20:12,589 And of course, this is not only a tech 580 00:20:12,590 --> 00:20:14,899 problem. This is not only a tech problem 581 00:20:14,900 --> 00:20:16,669 because technology companies are relying 582 00:20:16,670 --> 00:20:18,829 on much analyst workers 583 00:20:18,830 --> 00:20:21,259 in data centers trying to filter 584 00:20:21,260 --> 00:20:23,239 out the hold stuff and making just a 585 00:20:23,240 --> 00:20:25,339 very, very real world problem 586 00:20:25,340 --> 00:20:27,949 with all kind of physical, psychological 587 00:20:27,950 --> 00:20:30,239 implementation cases 588 00:20:30,240 --> 00:20:31,240 at it. 589 00:20:33,260 --> 00:20:35,419 And it's not only a tech problem, 590 00:20:35,420 --> 00:20:37,999 still, because you can't kick and hate 591 00:20:38,000 --> 00:20:40,279 like society is no easy chatroom, 592 00:20:40,280 --> 00:20:41,779 but you can kick them people out of it 593 00:20:41,780 --> 00:20:42,919 and they are gone. 594 00:20:42,920 --> 00:20:45,619 This is not how our 595 00:20:45,620 --> 00:20:46,789 opinions work freely. 596 00:20:49,280 --> 00:20:51,529 OK, so if it's not a tech 597 00:20:51,530 --> 00:20:53,719 problem, but it's a societal problem, it 598 00:20:53,720 --> 00:20:55,069 kind of makes sense, maybe to 599 00:20:56,120 --> 00:20:57,439 talk about society. 600 00:20:57,440 --> 00:20:59,989 But I call it the next 601 00:20:59,990 --> 00:21:01,999 section of the talk, the walls we broke 602 00:21:02,000 --> 00:21:03,079 and what we mean. 603 00:21:06,260 --> 00:21:08,359 I want to start with one 604 00:21:08,360 --> 00:21:09,709 of the problems. 605 00:21:09,710 --> 00:21:11,269 Problem number one is basically that 606 00:21:11,270 --> 00:21:13,249 white people gave money to white people 607 00:21:13,250 --> 00:21:15,139 to solve the problems of white people. 608 00:21:15,140 --> 00:21:17,269 So in a very white 609 00:21:17,270 --> 00:21:19,759 society at the first place, 610 00:21:19,760 --> 00:21:22,489 they are constantly 611 00:21:22,490 --> 00:21:24,709 putting money into wenches 612 00:21:24,710 --> 00:21:25,529 of white people. 613 00:21:25,530 --> 00:21:27,649 We still have 614 00:21:27,650 --> 00:21:27,709 a 615 00:21:27,710 --> 00:21:30,889 more centered, centered whiteness at the 616 00:21:30,890 --> 00:21:32,989 core of our solutions and at the 617 00:21:32,990 --> 00:21:35,059 course of the 618 00:21:35,060 --> 00:21:36,349 discourse and technology, 619 00:21:37,640 --> 00:21:39,619 and basically everything else was 620 00:21:39,620 --> 00:21:41,179 discarded along the way. 621 00:21:41,180 --> 00:21:43,249 And just recently, I think a 622 00:21:43,250 --> 00:21:45,259 reckoning and trying to get this back 623 00:21:46,760 --> 00:21:48,379 problem to 624 00:21:48,380 --> 00:21:50,689 male people gave money to many people to 625 00:21:50,690 --> 00:21:52,609 solve the problems of male people. 626 00:21:53,870 --> 00:21:54,979 It's to the state. 627 00:21:54,980 --> 00:21:57,079 It's companies founded by women have a 628 00:21:57,080 --> 00:21:58,639 very much harder than companies founded 629 00:21:58,640 --> 00:22:00,439 by men to quite some sort of capital. 630 00:22:00,440 --> 00:22:02,509 And if they do, they 631 00:22:02,510 --> 00:22:03,679 are 632 00:22:03,680 --> 00:22:06,349 faced or faced, confronted with a 633 00:22:06,350 --> 00:22:07,790 larger scale of scrutiny and 634 00:22:09,620 --> 00:22:12,170 easy, easy a failing, basically. 635 00:22:17,880 --> 00:22:19,979 Now, if one of these 636 00:22:19,980 --> 00:22:21,689 things gets problem, a toast, 637 00:22:22,800 --> 00:22:23,579 often 638 00:22:23,580 --> 00:22:26,129 one or the other of the 639 00:22:26,130 --> 00:22:28,319 employers of the employees 640 00:22:28,320 --> 00:22:30,719 of such companies shows up and said, 641 00:22:30,720 --> 00:22:31,799 but we didn't mean to. 642 00:22:33,000 --> 00:22:35,189 They didn't want to build companies 643 00:22:35,190 --> 00:22:37,349 that exclude not male people or 644 00:22:37,350 --> 00:22:39,869 that include exclude, not married people. 645 00:22:39,870 --> 00:22:42,059 And to some extent, I won't believe them. 646 00:22:42,060 --> 00:22:44,339 I want to believe them because 647 00:22:44,340 --> 00:22:45,809 if they would mean to Dave would have 648 00:22:45,810 --> 00:22:47,549 just been full blown shit hats. 649 00:22:47,550 --> 00:22:49,889 They would be like escorts, 650 00:22:49,890 --> 00:22:52,049 basically. So I kind of want to believe 651 00:22:52,050 --> 00:22:54,179 them because maybe humans 652 00:22:54,180 --> 00:22:56,459 are not worth of thought. 653 00:22:56,460 --> 00:22:57,749 Maybe hopefully. 654 00:22:57,750 --> 00:22:59,259 Oh, OK. 655 00:22:59,260 --> 00:23:00,809 And that's that's OK that they didn't 656 00:23:00,810 --> 00:23:03,629 mean to, but that they didn't mean to 657 00:23:03,630 --> 00:23:06,959 does not solve the problem because 658 00:23:06,960 --> 00:23:07,199 the 659 00:23:07,200 --> 00:23:09,089 problem here is to quote Tatiana Mac. 660 00:23:09,090 --> 00:23:11,369 Again, that intent does not erase 661 00:23:11,370 --> 00:23:13,469 impact. It does not really matter how 662 00:23:13,470 --> 00:23:15,719 you intended your technology to be used 663 00:23:15,720 --> 00:23:18,119 or what your intentions between behind 664 00:23:18,120 --> 00:23:19,529 building something was. 665 00:23:19,530 --> 00:23:20,909 What really matters in the end, is the 666 00:23:20,910 --> 00:23:23,039 impact of those people that have to 667 00:23:23,040 --> 00:23:24,599 feel it. 668 00:23:24,600 --> 00:23:27,009 And if they if they feel, 669 00:23:27,010 --> 00:23:28,769 if they feel discrimination, if they are 670 00:23:28,770 --> 00:23:31,019 discriminated by you, by your products, 671 00:23:31,020 --> 00:23:32,849 it really does not matter that you didn't 672 00:23:32,850 --> 00:23:35,339 want to build 673 00:23:35,340 --> 00:23:37,619 a product that is discriminatory 674 00:23:37,620 --> 00:23:38,620 in the first place. 675 00:23:41,040 --> 00:23:43,529 So tech is not neutral 676 00:23:43,530 --> 00:23:45,569 and it has never been neutral. 677 00:23:45,570 --> 00:23:47,309 The technology we built and the 678 00:23:47,310 --> 00:23:48,359 technology we will 679 00:23:48,360 --> 00:23:49,949 build will 680 00:23:49,950 --> 00:23:51,299 always be 681 00:23:53,010 --> 00:23:53,159 or 682 00:23:53,160 --> 00:23:55,440 can always be used for bad things. 683 00:23:57,000 --> 00:23:59,519 This makes it necessary 684 00:23:59,520 --> 00:24:01,679 for us as technicians that we can't 685 00:24:01,680 --> 00:24:02,879 be neutral. 686 00:24:02,880 --> 00:24:05,029 We can't say if you put this out there 687 00:24:05,030 --> 00:24:06,989 and then we see what happens, because 688 00:24:06,990 --> 00:24:07,409 then it 689 00:24:07,410 --> 00:24:08,410 will 690 00:24:09,120 --> 00:24:11,109 happen. It will happen basically. 691 00:24:11,110 --> 00:24:12,440 So we have to take a stand. 692 00:24:15,390 --> 00:24:18,269 So in 1985, 693 00:24:18,270 --> 00:24:20,009 the scholar Joseph Eichenbaum, was 694 00:24:20,010 --> 00:24:22,169 interviewed and he said 695 00:24:22,170 --> 00:24:23,999 it is not reasonable for a scientist or 696 00:24:24,000 --> 00:24:26,099 technologist to insist that he 697 00:24:26,100 --> 00:24:28,079 or she doesn't know or cannot know how 698 00:24:28,080 --> 00:24:29,680 technology is going to be used. 699 00:24:30,750 --> 00:24:32,909 And this was like 1985, 700 00:24:32,910 --> 00:24:34,619 24 years ago, basically. 701 00:24:34,620 --> 00:24:36,989 But the problem hasn't really changed, 702 00:24:36,990 --> 00:24:39,869 and technical tech wasn't really good in 703 00:24:39,870 --> 00:24:42,689 resolving resolving just so far. 704 00:24:42,690 --> 00:24:43,830 Maybe we can change this. 705 00:24:45,860 --> 00:24:47,339 This brings me to my next post. 706 00:24:47,340 --> 00:24:48,599 I want to stress that Facebook is 707 00:24:48,600 --> 00:24:50,969 bullshit and Facebook PR 708 00:24:50,970 --> 00:24:53,069 representatives who go on 709 00:24:53,070 --> 00:24:55,529 in news and 710 00:24:55,530 --> 00:24:57,749 in publications after their 711 00:24:57,750 --> 00:24:59,459 ads found to be discriminatory. 712 00:24:59,460 --> 00:25:01,409 And they say, Yeah, but inclusion is at 713 00:25:01,410 --> 00:25:02,999 the heart of our company. 714 00:25:04,380 --> 00:25:06,209 They are blatantly lying because the 715 00:25:06,210 --> 00:25:07,649 thing that is on the heart of Facebook's 716 00:25:07,650 --> 00:25:09,509 company, it's nineteen ninety eight point 717 00:25:09,510 --> 00:25:11,699 five percent of the revenue, its 718 00:25:11,700 --> 00:25:12,700 advertisement. 719 00:25:14,220 --> 00:25:16,169 And if they'd say, Yeah, but TV is a 720 00:25:16,170 --> 00:25:18,359 core, they they know 721 00:25:18,360 --> 00:25:20,459 that they have or they should know 722 00:25:20,460 --> 00:25:21,599 that they have problems. I don't know if 723 00:25:21,600 --> 00:25:23,729 they know and I say 724 00:25:23,730 --> 00:25:25,859 they're lying because the intent 725 00:25:25,860 --> 00:25:28,049 that they have does not erase the impact 726 00:25:28,050 --> 00:25:29,639 that their product had. 727 00:25:29,640 --> 00:25:32,019 And it's kind of an 728 00:25:32,020 --> 00:25:33,959 afterthought. Still think, yeah, we put 729 00:25:33,960 --> 00:25:35,399 something out there and it will be used 730 00:25:35,400 --> 00:25:37,169 for good. It will only be used for good 731 00:25:37,170 --> 00:25:39,240 if we care about using it for good. 732 00:25:41,940 --> 00:25:44,159 But the problem with technology and 733 00:25:44,160 --> 00:25:46,289 discriminatory technology goes 734 00:25:46,290 --> 00:25:47,290 deeper than that, 735 00:25:48,600 --> 00:25:50,849 as if that's bad enough in the first 736 00:25:50,850 --> 00:25:51,850 place. 737 00:25:52,380 --> 00:25:53,219 But we have 738 00:25:53,220 --> 00:25:54,220 to 739 00:25:55,380 --> 00:25:57,659 be aware of the use 740 00:25:57,660 --> 00:26:00,539 of algorithms, for example, to 741 00:26:00,540 --> 00:26:02,759 make decisions about the future of 742 00:26:02,760 --> 00:26:05,009 people saying who will commit a crime, 743 00:26:05,010 --> 00:26:07,049 predictive policing 744 00:26:07,050 --> 00:26:07,829 and 745 00:26:07,830 --> 00:26:09,779 the reality that the algorithm is 746 00:26:09,780 --> 00:26:12,929 algorithms are over and over again 747 00:26:12,930 --> 00:26:15,179 discriminating against people of color. 748 00:26:15,180 --> 00:26:17,249 If we have Amazon providing the 749 00:26:17,250 --> 00:26:19,919 footage of the ring home security cameras 750 00:26:19,920 --> 00:26:22,529 to police departments basically 751 00:26:22,530 --> 00:26:24,599 without any control over 752 00:26:24,600 --> 00:26:26,069 what the police does with it. 753 00:26:26,070 --> 00:26:27,779 And if you don't control police, I think 754 00:26:27,780 --> 00:26:30,479 most of the people in this room know that 755 00:26:30,480 --> 00:26:32,039 this might not end so well. 756 00:26:33,780 --> 00:26:35,969 And then we have companies 757 00:26:35,970 --> 00:26:38,099 just focusing on enabling 758 00:26:38,100 --> 00:26:39,059 and modernizing I.T. 759 00:26:39,060 --> 00:26:41,039 departments like volunteer who worked 760 00:26:41,040 --> 00:26:44,069 with the police and has to 761 00:26:44,070 --> 00:26:45,070 build, hasn't they? To 762 00:26:46,160 --> 00:26:48,300 a large scale data 763 00:26:49,710 --> 00:26:51,929 harvesting project with the local 764 00:26:51,930 --> 00:26:53,369 police. And they do this all over the 765 00:26:53,370 --> 00:26:54,719 world. It's not just the police and 766 00:26:54,720 --> 00:26:55,720 person. 767 00:26:58,710 --> 00:27:01,289 And they also use 768 00:27:01,290 --> 00:27:03,449 algorithms to predict 769 00:27:03,450 --> 00:27:04,799 to predict the future. 770 00:27:06,900 --> 00:27:09,389 The thing the problem with this algorithm 771 00:27:09,390 --> 00:27:11,549 is the underlying models are 772 00:27:11,550 --> 00:27:13,649 wrong because the algorithms 773 00:27:13,650 --> 00:27:15,139 they were given data off to. 774 00:27:15,140 --> 00:27:17,269 Past and out of the past, they 775 00:27:17,270 --> 00:27:18,979 should predict the future. 776 00:27:18,980 --> 00:27:20,299 Now the problem 777 00:27:20,300 --> 00:27:22,489 is if you give 778 00:27:22,490 --> 00:27:24,979 an algorithm data from a recent past 779 00:27:24,980 --> 00:27:26,869 and it should build a future, the future 780 00:27:26,870 --> 00:27:28,219 is likely to be racist. 781 00:27:28,220 --> 00:27:30,349 If you don't control your algorithms and 782 00:27:30,350 --> 00:27:31,670 does offline, does doesn't happen. 783 00:27:32,900 --> 00:27:35,599 For example, this kind of famous example 784 00:27:35,600 --> 00:27:38,599 with Google's photo 785 00:27:38,600 --> 00:27:41,179 filters algorithms which 786 00:27:41,180 --> 00:27:43,249 discriminated against black people, 787 00:27:43,250 --> 00:27:45,679 black people and for labeling 788 00:27:45,680 --> 00:27:46,759 them as gorillas. 789 00:27:46,760 --> 00:27:48,739 Google has pulled this off and still 790 00:27:48,740 --> 00:27:51,079 isn't able to teach the algorithm 791 00:27:51,080 --> 00:27:52,489 that it does not. 792 00:27:52,490 --> 00:27:54,289 It's like this. 793 00:27:54,290 --> 00:27:56,629 The algorithm still just does nothing 794 00:27:56,630 --> 00:27:58,819 with it. It's so ingrained into the data 795 00:27:59,930 --> 00:28:02,059 or more recently at all credit card 796 00:28:02,060 --> 00:28:04,249 discriminating against 797 00:28:04,250 --> 00:28:06,349 against women by giving women 798 00:28:06,350 --> 00:28:08,449 with a higher income a lower credit 799 00:28:08,450 --> 00:28:10,460 score than males with a lower income. 800 00:28:11,720 --> 00:28:13,130 Again, Goldman Sachs, the 801 00:28:14,330 --> 00:28:16,609 the bank behind this credit card, 802 00:28:16,610 --> 00:28:19,039 said. But we didn't mean to. 803 00:28:19,040 --> 00:28:20,479 But you did. 804 00:28:20,480 --> 00:28:22,159 You did, you didn't mean to. 805 00:28:22,160 --> 00:28:24,200 But you built technology that did it. 806 00:28:27,080 --> 00:28:29,329 So it really does not matter 807 00:28:29,330 --> 00:28:30,379 if you didn't mean to. 808 00:28:30,380 --> 00:28:32,689 And it also doesn't matter if you put 809 00:28:32,690 --> 00:28:34,849 race or gender as an explicit input 810 00:28:34,850 --> 00:28:36,679 into the algorithm. 811 00:28:36,680 --> 00:28:39,589 To quote the researcher Rachel Thomas. 812 00:28:39,590 --> 00:28:41,569 Even if race and gender are not inputs 813 00:28:41,570 --> 00:28:43,279 through your algorithm, it can still be 814 00:28:43,280 --> 00:28:44,839 biased on these factors. 815 00:28:44,840 --> 00:28:47,299 Machine learning excels at finding latent 816 00:28:47,300 --> 00:28:49,399 variables, and 817 00:28:49,400 --> 00:28:52,339 if you don't control your algorithms, 818 00:28:52,340 --> 00:28:55,039 these latent variables 819 00:28:55,040 --> 00:28:57,259 will result in runaway 820 00:28:57,260 --> 00:28:59,449 feedback loops. So the algorithm over 821 00:28:59,450 --> 00:29:01,699 and over reinforcing itself 822 00:29:01,700 --> 00:29:04,189 and setting the next set of data 823 00:29:04,190 --> 00:29:06,649 on which it learns. And then suddenly 824 00:29:06,650 --> 00:29:08,869 it is so ingrained into the data 825 00:29:11,210 --> 00:29:12,559 that you can't do anything about it 826 00:29:12,560 --> 00:29:13,560 anymore. 827 00:29:15,260 --> 00:29:17,359 To quote Nisshin, your study 828 00:29:17,360 --> 00:29:19,819 was very, I think, 829 00:29:19,820 --> 00:29:22,249 concisely and rightly said. 830 00:29:22,250 --> 00:29:24,139 Data from the past should not put the 831 00:29:24,140 --> 00:29:26,239 future if we can use data 832 00:29:26,240 --> 00:29:29,149 from the past to learn about the past. 833 00:29:29,150 --> 00:29:30,619 But what we're currently doing is trying 834 00:29:30,620 --> 00:29:32,689 to predict the future and this has 835 00:29:32,690 --> 00:29:33,679 to fail. 836 00:29:33,680 --> 00:29:35,959 This is something that the data can't 837 00:29:35,960 --> 00:29:36,960 do. 838 00:29:38,030 --> 00:29:40,399 And Tatiana Mac said 839 00:29:40,400 --> 00:29:42,479 that the technology that we use 840 00:29:42,480 --> 00:29:44,929 excel accelerating at a frightening rate, 841 00:29:44,930 --> 00:29:46,609 a rate faster than our reflective 842 00:29:46,610 --> 00:29:48,169 understanding of its impact. 843 00:29:48,170 --> 00:29:50,619 But we still let the technology. 844 00:29:50,620 --> 00:29:52,219 We still evolve this technology ever 845 00:29:52,220 --> 00:29:54,139 faster and faster and faster, and we 846 00:29:54,140 --> 00:29:56,359 still don't try to really understand 847 00:29:56,360 --> 00:29:58,339 what happened here or if we do, we do it 848 00:29:58,340 --> 00:30:00,349 and kind of niche groups, but not as 849 00:30:00,350 --> 00:30:01,429 society as a whole. 850 00:30:03,500 --> 00:30:06,019 This also is, I think, a problem 851 00:30:06,020 --> 00:30:08,149 because of the humans that 852 00:30:08,150 --> 00:30:10,939 have access to two computers. 853 00:30:10,940 --> 00:30:13,049 So I want to talk about 854 00:30:13,050 --> 00:30:15,649 the means of production for a moment or 855 00:30:15,650 --> 00:30:17,389 a very short history of computing. 856 00:30:18,980 --> 00:30:20,359 I want to start with a kind of 857 00:30:20,360 --> 00:30:22,379 imaginative thing. 858 00:30:22,380 --> 00:30:24,439 So for a moment, please imagine 859 00:30:24,440 --> 00:30:25,440 a programmer. 860 00:30:29,250 --> 00:30:31,499 OK, I guess it's very 861 00:30:31,500 --> 00:30:33,599 likely that you came up with someone 862 00:30:33,600 --> 00:30:35,309 who more or less plus minus the mustache 863 00:30:35,310 --> 00:30:37,770 maybe looked like this kind of white, 864 00:30:39,070 --> 00:30:39,629 able 865 00:30:39,630 --> 00:30:41,909 bodied male person. 866 00:30:41,910 --> 00:30:44,009 And rightfully so, because 867 00:30:44,010 --> 00:30:46,919 programmers today mostly look like this 868 00:30:46,920 --> 00:30:47,920 high. 869 00:30:48,660 --> 00:30:49,660 But 870 00:30:50,880 --> 00:30:53,099 next question for a moment, 871 00:30:53,100 --> 00:30:54,510 please imagine a computer. 872 00:30:56,820 --> 00:30:59,069 And chances are, again, that you 873 00:30:59,070 --> 00:31:00,749 kind of came up with something standing 874 00:31:00,750 --> 00:31:02,739 on a desk like a modern day laptop or 875 00:31:02,740 --> 00:31:04,889 something, if you know 876 00:31:04,890 --> 00:31:06,869 about the history of computing, you maybe 877 00:31:06,870 --> 00:31:08,939 went a step back and thought about 878 00:31:08,940 --> 00:31:10,949 something, something like this, this room 879 00:31:10,950 --> 00:31:13,529 filling tech giant computing machines 880 00:31:13,530 --> 00:31:15,839 that were doing less than the phone 881 00:31:15,840 --> 00:31:17,309 that is in our pocket. But we're still 882 00:31:17,310 --> 00:31:19,889 like to the history. 883 00:31:19,890 --> 00:31:21,989 I want to go even further back into the 884 00:31:21,990 --> 00:31:24,119 1892 and in 1892, 885 00:31:24,120 --> 00:31:26,409 the New York Times post a job at 886 00:31:26,410 --> 00:31:29,039 at which the Civil Service Examination 887 00:31:29,040 --> 00:31:31,139 will be held May 18th in Washington 888 00:31:31,140 --> 00:31:33,509 and, if necessary, in other cities 889 00:31:33,510 --> 00:31:35,249 to secure eligible for the position of 890 00:31:35,250 --> 00:31:37,619 computer and do not take any 891 00:31:37,620 --> 00:31:39,839 office. But two vacancies exist one 892 00:31:39,840 --> 00:31:42,809 at $1000 to address of 1400. 893 00:31:42,810 --> 00:31:44,609 The nation will include the subjects of 894 00:31:44,610 --> 00:31:47,069 algebra, geometry, trigonometry 895 00:31:47,070 --> 00:31:49,169 and astronomy. Application blanks may be 896 00:31:49,170 --> 00:31:50,909 obtained after United States Civil 897 00:31:50,910 --> 00:31:53,009 Service Commission note This really 898 00:31:53,010 --> 00:31:54,809 does not sound like they were searching 899 00:31:54,810 --> 00:31:57,089 for some kind of machine, right? 900 00:31:57,090 --> 00:31:58,769 And they didn't because they weren't. 901 00:31:58,770 --> 00:32:00,299 They were searching for humans. 902 00:32:00,300 --> 00:32:01,289 And more specifically, they were 903 00:32:01,290 --> 00:32:02,290 searching for women 904 00:32:03,690 --> 00:32:05,789 historically into the 905 00:32:05,790 --> 00:32:08,429 myth of the 20th century. 906 00:32:08,430 --> 00:32:10,739 A computer was a human, was 907 00:32:10,740 --> 00:32:13,019 a woman. They were doing really 908 00:32:13,020 --> 00:32:15,300 complex and amazing mathematical 909 00:32:17,160 --> 00:32:18,209 computations. 910 00:32:18,210 --> 00:32:20,129 They at Harvard for Harvard, for example, 911 00:32:20,130 --> 00:32:22,229 they were calculating the how stars 912 00:32:22,230 --> 00:32:24,719 traveled across the across the 913 00:32:24,720 --> 00:32:26,459 sky. And it did so so right. 914 00:32:26,460 --> 00:32:28,319 Some of the data to calculate it back 915 00:32:28,320 --> 00:32:29,670 back then is still in use today. 916 00:32:32,580 --> 00:32:33,900 And the 917 00:32:34,980 --> 00:32:37,349 how women were so 918 00:32:37,350 --> 00:32:39,359 synonymous with computers that by the 919 00:32:39,360 --> 00:32:41,429 mid-20th century, computing was 920 00:32:41,430 --> 00:32:43,199 so much considered a woman's job that 921 00:32:43,200 --> 00:32:45,209 mathematicians would guesstimate their 922 00:32:45,210 --> 00:32:47,309 horsepower by invoking Google 923 00:32:47,310 --> 00:32:48,299 years 924 00:32:48,300 --> 00:32:49,919 and went 925 00:32:49,920 --> 00:32:53,009 to their refers to mechanical computing 926 00:32:53,010 --> 00:32:53,999 machines. 927 00:32:54,000 --> 00:32:56,459 And when they were describing 928 00:32:56,460 --> 00:32:58,259 the units of machine labor that one of 929 00:32:58,260 --> 00:32:59,699 these machines, Hester, were describing 930 00:32:59,700 --> 00:33:01,789 it as a killer girl 931 00:33:01,790 --> 00:33:03,239 where we today would talk about 932 00:33:03,240 --> 00:33:04,949 kilobytes, maybe they were referring to 933 00:33:04,950 --> 00:33:05,950 kill girls. 934 00:33:09,290 --> 00:33:11,449 And it all started with her, this is 935 00:33:11,450 --> 00:33:13,099 Ada Lovelace. 936 00:33:13,100 --> 00:33:15,199 Now finally, we have a name named after a 937 00:33:15,200 --> 00:33:17,119 room named after her next to it's the 938 00:33:17,120 --> 00:33:19,069 biggest room of the conference, and 939 00:33:19,070 --> 00:33:21,139 rightfully so. I think she was 940 00:33:21,140 --> 00:33:22,759 working in the mid-19th century and 941 00:33:22,760 --> 00:33:24,260 together with Charles Papa, she 942 00:33:25,970 --> 00:33:28,159 worked on the thing called the difference 943 00:33:28,160 --> 00:33:30,109 engine what's really an engine, steam 944 00:33:30,110 --> 00:33:32,299 powered and such, which was doing 945 00:33:32,300 --> 00:33:34,219 calculations. And she's widely regarded 946 00:33:34,220 --> 00:33:35,839 as the first programmer because she wrote 947 00:33:35,840 --> 00:33:37,999 the programs for for this engine. 948 00:33:40,280 --> 00:33:41,149 Now, going 949 00:33:41,150 --> 00:33:43,369 into the middle of the 20th century, its 950 00:33:43,370 --> 00:33:45,230 very short history of computing, 951 00:33:46,700 --> 00:33:49,279 we, for example, have women working 952 00:33:49,280 --> 00:33:50,929 as telephone operators. 953 00:33:50,930 --> 00:33:53,089 And when the first computers came 954 00:33:53,090 --> 00:33:55,219 up, they were like, these huge things I 955 00:33:55,220 --> 00:33:57,469 just showed and these kind 956 00:33:57,470 --> 00:33:59,779 of these women had the the skill 957 00:33:59,780 --> 00:34:01,999 necessary to to work 958 00:34:02,000 --> 00:34:03,000 on these machines. 959 00:34:04,130 --> 00:34:06,229 So some of the women who were 960 00:34:06,230 --> 00:34:08,299 programing the real, the first 961 00:34:08,300 --> 00:34:10,609 real computers that we not 962 00:34:10,610 --> 00:34:12,468 kind of know or understand today is a 963 00:34:12,469 --> 00:34:15,019 computer, for example, Grace Hopper 964 00:34:15,020 --> 00:34:17,359 copper sorry, working for the Navy 965 00:34:17,360 --> 00:34:19,459 during the Second World War, 966 00:34:19,460 --> 00:34:22,129 or we have to ENIAC six, 967 00:34:22,130 --> 00:34:24,349 namely Kathleen McNulty, Betty Jean 968 00:34:24,350 --> 00:34:26,629 Jennings, Elizabeth Snider, Marlene 969 00:34:26,630 --> 00:34:28,759 Vesco, Francis Pill+ and 970 00:34:28,760 --> 00:34:30,319 Rootless Little Men working at the 971 00:34:30,320 --> 00:34:32,479 University of Pennsylvania at 972 00:34:32,480 --> 00:34:33,979 a machine called the ENIAC, which is 973 00:34:33,980 --> 00:34:35,899 generally considered to be the first all 974 00:34:35,900 --> 00:34:37,819 purpose computer. So they were 975 00:34:37,820 --> 00:34:40,279 calculating missile ranges for the 976 00:34:40,280 --> 00:34:41,329 for the army. 977 00:34:41,330 --> 00:34:43,099 But it's generally like this computers 978 00:34:43,100 --> 00:34:45,408 should be able to calculate basically 979 00:34:45,409 --> 00:34:47,899 anything all we have in 980 00:34:47,900 --> 00:34:49,879 Great Britain at Bletchley Park. 981 00:34:49,880 --> 00:34:52,189 We had to colossus mark to code breaking 982 00:34:52,190 --> 00:34:54,799 computer, which broke code 983 00:34:54,800 --> 00:34:56,988 the Enigma code of the Nazis basically 984 00:34:56,989 --> 00:34:57,979 in real time. 985 00:34:57,980 --> 00:34:59,659 And here we have two women operating 986 00:34:59,660 --> 00:35:00,660 this, namely 987 00:35:01,790 --> 00:35:05,089 Dorothy Basil and as Booker, 988 00:35:05,090 --> 00:35:07,159 and just continued well into the 989 00:35:07,160 --> 00:35:09,259 1960s. I think 990 00:35:09,260 --> 00:35:11,239 where people working with computers were 991 00:35:11,240 --> 00:35:12,679 mostly women. 992 00:35:12,680 --> 00:35:14,839 They weren't doing punch cards anymore. 993 00:35:14,840 --> 00:35:16,519 Now they had like keyboards and stuff, 994 00:35:16,520 --> 00:35:17,659 but they were mostly women 995 00:35:20,120 --> 00:35:20,869 and 996 00:35:20,870 --> 00:35:23,269 women, also among the people 997 00:35:23,270 --> 00:35:24,799 creating the first compilers and high 998 00:35:24,800 --> 00:35:25,999 level programing languages. 999 00:35:26,000 --> 00:35:27,679 So the things we probably interact with 1000 00:35:27,680 --> 00:35:28,680 today. 1001 00:35:29,540 --> 00:35:31,639 And then a question was 1002 00:35:31,640 --> 00:35:33,769 raised, which is what is a or 1003 00:35:33,770 --> 00:35:35,659 who is a programmer, really? 1004 00:35:35,660 --> 00:35:37,549 It was raised, among other things, 1005 00:35:37,550 --> 00:35:38,779 because there was a shortage of 1006 00:35:38,780 --> 00:35:39,780 programmers. 1007 00:35:41,390 --> 00:35:42,829 And some 1008 00:35:43,850 --> 00:35:45,919 newspapers at the time talked about 1009 00:35:45,920 --> 00:35:48,199 a software crisis was more 1010 00:35:48,200 --> 00:35:49,609 like a labor crisis, actually. 1011 00:35:49,610 --> 00:35:52,039 And I think it still really isn't 1012 00:35:52,040 --> 00:35:53,959 resolved today. 1013 00:35:53,960 --> 00:35:56,809 And this crisis or crisis, however, 1014 00:35:56,810 --> 00:35:58,789 went as far that the WHO held a 1015 00:35:58,790 --> 00:36:00,439 conference in Germany in Garmisch. 1016 00:36:00,440 --> 00:36:02,749 They weren't including any 1017 00:36:02,750 --> 00:36:04,009 women on the cast list. 1018 00:36:04,010 --> 00:36:06,379 So basically just male people 1019 00:36:06,380 --> 00:36:08,569 deciding the future again. 1020 00:36:08,570 --> 00:36:10,280 And Peter made a change. 1021 00:36:11,480 --> 00:36:12,829 Dumb and clear 1022 00:36:12,830 --> 00:36:14,209 evidence and the history of women in 1023 00:36:14,210 --> 00:36:16,879 computing wrote the most 1024 00:36:16,880 --> 00:36:19,189 significant change they made arguably 1025 00:36:19,190 --> 00:36:21,829 was semantic programing they decided, 1026 00:36:21,830 --> 00:36:24,649 which heretofore be known as engineering. 1027 00:36:24,650 --> 00:36:26,119 The talk. 1028 00:36:26,120 --> 00:36:27,949 The title we probably used today 1029 00:36:29,180 --> 00:36:29,359 to 1030 00:36:29,360 --> 00:36:31,840 shift on vocabulary was shift 1031 00:36:32,870 --> 00:36:33,469 and 1032 00:36:33,470 --> 00:36:35,269 in focus. It was more focusing on 1033 00:36:35,270 --> 00:36:37,699 technical skills than maybe on the 1034 00:36:37,700 --> 00:36:39,799 skills that humans have to possess as 1035 00:36:39,800 --> 00:36:41,389 the so-called soft targets working with 1036 00:36:41,390 --> 00:36:43,219 each other, collaborating. 1037 00:36:43,220 --> 00:36:44,869 But fundamentally, you have to be kind of 1038 00:36:44,870 --> 00:36:47,239 an engineer, very serious 1039 00:36:47,240 --> 00:36:49,339 thing in 1040 00:36:49,340 --> 00:36:50,839 this crisis to have also more concrete 1041 00:36:50,840 --> 00:36:52,639 factors at play, for example, a lack of 1042 00:36:52,640 --> 00:36:55,309 child care, a lack of mentoring and 1043 00:36:55,310 --> 00:36:57,619 of course, because we live in patriarchy 1044 00:36:57,620 --> 00:36:59,539 of age, discrimination against against 1045 00:36:59,540 --> 00:37:00,540 women. 1046 00:37:01,100 --> 00:37:02,989 And so there were also other factors 1047 00:37:02,990 --> 00:37:05,299 driving women out of the workforce 1048 00:37:05,300 --> 00:37:07,069 factors I think that are still very 1049 00:37:07,070 --> 00:37:08,070 relevant today 1050 00:37:09,860 --> 00:37:11,179 and 1051 00:37:11,180 --> 00:37:13,399 does change us or problems. 1052 00:37:13,400 --> 00:37:15,679 They worked on iconic 1053 00:37:15,680 --> 00:37:17,929 Apple apps, from introducing 1054 00:37:17,930 --> 00:37:19,849 the Apple to its from 1977. 1055 00:37:19,850 --> 00:37:20,989 So roughly 10 years later, 1056 00:37:22,160 --> 00:37:24,409 and here we see so. 1057 00:37:27,670 --> 00:37:28,709 Do you ever see the woman 1058 00:37:29,970 --> 00:37:32,009 back into the back in the kitchen, doing 1059 00:37:32,010 --> 00:37:34,589 the household and very admiringly 1060 00:37:34,590 --> 00:37:36,689 looking down at her men who was in the 1061 00:37:36,690 --> 00:37:38,699 front, very earnestly working at a 1062 00:37:38,700 --> 00:37:40,439 computer with some kind of economical 1063 00:37:40,440 --> 00:37:42,629 data? So it's probably destroying 1064 00:37:42,630 --> 00:37:44,069 the economy, you know such? 1065 00:37:44,070 --> 00:37:45,070 I don't know. 1066 00:37:46,140 --> 00:37:48,209 But this at shows that 1067 00:37:49,350 --> 00:37:51,509 in the public view, 1068 00:37:51,510 --> 00:37:53,789 programing and working with computers 1069 00:37:53,790 --> 00:37:55,859 was more getting more mentally ill by the 1070 00:37:55,860 --> 00:37:57,420 day and it still is today. 1071 00:37:59,760 --> 00:38:01,829 Now what we still 1072 00:38:01,830 --> 00:38:03,899 have today is again white 1073 00:38:03,900 --> 00:38:05,549 men who hire white men to solve the 1074 00:38:05,550 --> 00:38:07,859 problems of white men, and they 1075 00:38:07,860 --> 00:38:10,469 hire that appears basically 1076 00:38:10,470 --> 00:38:13,799 to end their companies and buy debt, 1077 00:38:13,800 --> 00:38:15,689 reinforcing this cycle. 1078 00:38:15,690 --> 00:38:18,029 This focus on a male 1079 00:38:18,030 --> 00:38:20,549 workforce that we have today, and I think 1080 00:38:20,550 --> 00:38:22,679 we have to have to broaden the 1081 00:38:22,680 --> 00:38:25,529 access and we have to break the cycle. 1082 00:38:25,530 --> 00:38:27,599 Now there are organizations 1083 00:38:27,600 --> 00:38:29,789 like he and the club, the Hexham or 1084 00:38:29,790 --> 00:38:31,769 globally women who code 1085 00:38:31,770 --> 00:38:32,069 who 1086 00:38:32,070 --> 00:38:34,169 are actively working on 1087 00:38:34,170 --> 00:38:36,389 getting more women and more non-binary 1088 00:38:36,390 --> 00:38:38,369 people. Basically, everybody who's not 1089 00:38:38,370 --> 00:38:40,589 male in the entire computing 1090 00:38:40,590 --> 00:38:42,569 workforce, there are feminist tech 1091 00:38:42,570 --> 00:38:44,549 spaces, and we saw a talk yesterday on 1092 00:38:44,550 --> 00:38:47,009 the stage about feminist sex spaces, 1093 00:38:47,010 --> 00:38:49,019 for example, at the heart of Coat and 1094 00:38:49,020 --> 00:38:50,309 Berlin, 1095 00:38:50,310 --> 00:38:50,789 who 1096 00:38:50,790 --> 00:38:52,949 try to make programing more accessible 1097 00:38:52,950 --> 00:38:55,049 and trying to teach this to to 1098 00:38:55,050 --> 00:38:56,549 more people. 1099 00:38:56,550 --> 00:38:57,209 Yeah. 1100 00:38:57,210 --> 00:38:59,379 And what they do is it's fighting and 1101 00:38:59,380 --> 00:39:01,679 just brings me to my last, last time, 1102 00:39:01,680 --> 00:39:02,680 last section, 1103 00:39:03,990 --> 00:39:05,159 which is named You've got a fight. 1104 00:39:09,500 --> 00:39:11,599 We have to fight because the breath 1105 00:39:11,600 --> 00:39:12,949 of things and these are not the only 1106 00:39:12,950 --> 00:39:14,749 thing they had to leave out such things 1107 00:39:14,750 --> 00:39:16,609 because otherwise I think the talk would 1108 00:39:16,610 --> 00:39:18,919 have been 45 1109 00:39:18,920 --> 00:39:20,629 hours instead of 45 minutes minutes, 1110 00:39:20,630 --> 00:39:22,129 probably. 1111 00:39:22,130 --> 00:39:23,569 Um, and I want 1112 00:39:23,570 --> 00:39:25,729 to talk a bit about ways we could 1113 00:39:25,730 --> 00:39:27,709 fight. The first one is maybe a bit 1114 00:39:27,710 --> 00:39:28,710 unlikely. 1115 00:39:29,390 --> 00:39:31,549 I want us to be playful. 1116 00:39:31,550 --> 00:39:33,949 I want us to work with technology 1117 00:39:33,950 --> 00:39:35,839 in a way that it's that it's playful. 1118 00:39:35,840 --> 00:39:37,219 That's that's fun, 1119 00:39:38,840 --> 00:39:40,989 because being playful is one of the ways 1120 00:39:40,990 --> 00:39:43,159 in which we can use to reclaim 1121 00:39:43,160 --> 00:39:45,319 the web we lost. But I talk, but 1122 00:39:45,320 --> 00:39:47,479 it can also like very creating 1123 00:39:47,480 --> 00:39:49,489 different entry points into technology. 1124 00:39:49,490 --> 00:39:52,589 Can Casey? 1125 00:39:52,590 --> 00:39:53,809 Casey Evans said. 1126 00:39:53,810 --> 00:39:56,029 Keep making fun stuff and talk about 1127 00:39:56,030 --> 00:39:57,979 animation, but animations with 1128 00:39:57,980 --> 00:40:00,769 Asperger's, but you animate graphics. 1129 00:40:00,770 --> 00:40:02,599 Casey Evans does stuff like this, 1130 00:40:03,860 --> 00:40:05,150 which maybe isn't. 1131 00:40:07,160 --> 00:40:08,629 It's no real 1132 00:40:08,630 --> 00:40:10,729 algorithmic magic, but it's super 1133 00:40:10,730 --> 00:40:12,469 cute and super amazing. 1134 00:40:12,470 --> 00:40:13,879 And it's cute. 1135 00:40:13,880 --> 00:40:15,569 It's cute that does. That does that makes 1136 00:40:15,570 --> 00:40:18,439 this jellyfish go up and down, smiling, 1137 00:40:18,440 --> 00:40:20,119 like blinking their eyes, and I think 1138 00:40:20,120 --> 00:40:21,120 it's super cool. 1139 00:40:22,460 --> 00:40:24,679 And she also does stuff 1140 00:40:24,680 --> 00:40:25,889 like this. This is a blob. 1141 00:40:25,890 --> 00:40:27,839 It's a bit shy and stopped dancing when 1142 00:40:27,840 --> 00:40:30,139 when you look at this and to 1143 00:40:30,140 --> 00:40:32,509 do this, she uses the Shape Detection 1144 00:40:32,510 --> 00:40:34,579 API that's built into Google 1145 00:40:34,580 --> 00:40:35,959 Google's Chrome browser. 1146 00:40:35,960 --> 00:40:38,159 It's available hydrophilic and the 1147 00:40:38,160 --> 00:40:40,339 Protection API has the ability to detect 1148 00:40:40,340 --> 00:40:41,569 faces. 1149 00:40:41,570 --> 00:40:45,049 Now, this kind of sounds dystopian 1150 00:40:45,050 --> 00:40:47,629 if you weren't animating blobs fitted, 1151 00:40:47,630 --> 00:40:49,729 but you can also use this technology 1152 00:40:49,730 --> 00:40:51,079 that maybe at first sight. 1153 00:40:51,080 --> 00:40:53,779 But for sound sounds a bit 1154 00:40:53,780 --> 00:40:54,829 odd stuff. Oh, 1155 00:40:55,880 --> 00:40:58,579 sounds a bit dystopian to use to build 1156 00:40:58,580 --> 00:40:59,580 good things. 1157 00:41:04,610 --> 00:41:07,129 Tech maybe can be plain useless. 1158 00:41:07,130 --> 00:41:09,559 This is a Twitter bot called Every Day, 1159 00:41:09,560 --> 00:41:11,539 it just combines two emojis and builds a 1160 00:41:11,540 --> 00:41:12,749 double helix DNA alter. 1161 00:41:12,750 --> 00:41:14,569 This is the gay rocket DNA, and I think 1162 00:41:14,570 --> 00:41:16,099 it was about damn time that we have this 1163 00:41:17,150 --> 00:41:19,219 and it's 1164 00:41:19,220 --> 00:41:21,349 let's use more or less 1165 00:41:21,350 --> 00:41:22,369 useless. It's fun. 1166 00:41:22,370 --> 00:41:23,899 It's Burt spelled with a Twitter board 1167 00:41:23,900 --> 00:41:25,730 called Cheap Bots Thumb quick. 1168 00:41:26,860 --> 00:41:28,459 So there probably wasn't even a lot of 1169 00:41:28,460 --> 00:41:29,899 time involved to build it. 1170 00:41:29,900 --> 00:41:31,339 But it's still it's still great. 1171 00:41:31,340 --> 00:41:33,549 I love this every time of what 1172 00:41:33,550 --> 00:41:35,689 a wonderful combination of these popped 1173 00:41:35,690 --> 00:41:37,099 up in my Twitter feed, and 1174 00:41:37,100 --> 00:41:39,319 I'm I'm lucky. 1175 00:41:39,320 --> 00:41:40,429 I'm I'm happy. 1176 00:41:42,650 --> 00:41:45,499 So to quote Casey Evans again, 1177 00:41:45,500 --> 00:41:47,359 in a world that becomes more dystopian by 1178 00:41:47,360 --> 00:41:49,699 the day. We can also use technology 1179 00:41:49,700 --> 00:41:51,229 for good, and it's important that we use 1180 00:41:51,230 --> 00:41:53,119 technology for good because there's 1181 00:41:53,120 --> 00:41:55,189 something in this playfulness 1182 00:41:55,190 --> 00:41:56,190 that's more than fun 1183 00:41:57,950 --> 00:41:59,749 and something about this playfulness that 1184 00:41:59,750 --> 00:42:02,359 we can use to teach technologies 1185 00:42:02,360 --> 00:42:05,089 and that we can use to build communities 1186 00:42:05,090 --> 00:42:06,960 and over the course of computing history. 1187 00:42:08,150 --> 00:42:10,399 We're mostly not 1188 00:42:10,400 --> 00:42:12,409 male people doing this kind of thing. 1189 00:42:12,410 --> 00:42:14,119 So also to the male men in the room, 1190 00:42:14,120 --> 00:42:16,610 please be more fun and more communities. 1191 00:42:17,870 --> 00:42:20,029 And we can also use this technology 1192 00:42:20,030 --> 00:42:22,519 to educate ourselves 1193 00:42:22,520 --> 00:42:23,960 and to educate others. 1194 00:42:25,010 --> 00:42:27,439 We can use this to learn stuff, 1195 00:42:27,440 --> 00:42:28,999 but we can also and this is also 1196 00:42:29,000 --> 00:42:31,369 important to use this to unlearn stuff 1197 00:42:31,370 --> 00:42:33,289 not just forgetting but actively 1198 00:42:33,290 --> 00:42:34,290 unlearning 1199 00:42:35,630 --> 00:42:37,819 ways of thinking, for example, that 1200 00:42:37,820 --> 00:42:39,499 we learned in a racist society and where 1201 00:42:39,500 --> 00:42:41,029 we have to make a conscious effort to 1202 00:42:41,030 --> 00:42:43,189 unlearn this. We can't just 1203 00:42:43,190 --> 00:42:44,509 forget this. 1204 00:42:44,510 --> 00:42:47,539 We can build book clubs or 1205 00:42:47,540 --> 00:42:49,130 communities in which we exchange 1206 00:42:50,420 --> 00:42:52,130 ideas about technology, for example. 1207 00:42:54,530 --> 00:42:56,689 And it was Grace Hopper 1208 00:42:56,690 --> 00:42:59,539 actually in 1968 who already said 1209 00:42:59,540 --> 00:43:01,339 that you needed people with more 1210 00:43:01,340 --> 00:43:03,439 vocabularies, and she means that we, 1211 00:43:03,440 --> 00:43:05,959 we use technology and technologists need 1212 00:43:05,960 --> 00:43:08,329 vocabularies that unjust not just 1213 00:43:08,330 --> 00:43:10,099 strictly technology to 1214 00:43:11,130 --> 00:43:13,339 not just strictly about technology, 1215 00:43:13,340 --> 00:43:15,499 to be able to interact with the world as 1216 00:43:15,500 --> 00:43:17,449 a whole and to more technology both 1217 00:43:17,450 --> 00:43:18,349 developed as a whole. 1218 00:43:18,350 --> 00:43:20,089 The more vocabulary we need and the more 1219 00:43:20,090 --> 00:43:22,339 important it is that we welcome people 1220 00:43:22,340 --> 00:43:24,559 who know these full vocabularies into 1221 00:43:24,560 --> 00:43:25,560 into our circles. 1222 00:43:26,810 --> 00:43:29,069 One project that's very near to my heart 1223 00:43:29,070 --> 00:43:31,279 currently is self-defined. 1224 00:43:31,280 --> 00:43:32,989 It's built by Tatiana Mac and maintained 1225 00:43:32,990 --> 00:43:35,239 by a community, 1226 00:43:35,240 --> 00:43:36,919 a modern dictionary about us. 1227 00:43:36,920 --> 00:43:38,479 We define zero words, but they don't 1228 00:43:38,480 --> 00:43:40,579 define us. So it's available 1229 00:43:40,580 --> 00:43:41,630 at self-defined app, 1230 00:43:42,920 --> 00:43:45,049 and it's basically a way to kind of 1231 00:43:45,050 --> 00:43:47,179 reclaim reclaim languages 1232 00:43:47,180 --> 00:43:48,409 and make languages, 1233 00:43:49,760 --> 00:43:50,449 not 1234 00:43:50,450 --> 00:43:52,759 ours. Because I'm a white men and 1235 00:43:52,760 --> 00:43:55,159 language is probably already mine, but 1236 00:43:55,160 --> 00:43:57,199 to make language again 1237 00:43:57,200 --> 00:43:57,739 formed 1238 00:43:57,740 --> 00:43:59,869 and defined by the people who 1239 00:43:59,870 --> 00:44:01,010 are impacted by this. 1240 00:44:02,990 --> 00:44:05,269 And this also brings me to the next 1241 00:44:05,270 --> 00:44:07,339 thing, which is that we have to hear and 1242 00:44:07,340 --> 00:44:09,919 amplify the voices of endangered 1243 00:44:09,920 --> 00:44:11,149 groups. 1244 00:44:11,150 --> 00:44:13,189 We have white people, have our I have to 1245 00:44:13,190 --> 00:44:15,679 use our safety to stand 1246 00:44:15,680 --> 00:44:17,899 up for people who are targeted 1247 00:44:17,900 --> 00:44:19,969 by racism because we 1248 00:44:19,970 --> 00:44:21,649 have safety and we have privilege and the 1249 00:44:21,650 --> 00:44:23,809 society and we have to use 1250 00:44:23,810 --> 00:44:25,219 this privilege. 1251 00:44:25,220 --> 00:44:27,439 Of course, also we as men 1252 00:44:27,440 --> 00:44:29,509 have to use the safety we have in a 1253 00:44:29,510 --> 00:44:31,609 patriarchal society to 1254 00:44:33,080 --> 00:44:34,429 to fight against. 1255 00:44:34,430 --> 00:44:37,069 Fight against this and use the safety. 1256 00:44:37,070 --> 00:44:39,319 And of course, also straight people 1257 00:44:39,320 --> 00:44:40,969 have to use the safety. 1258 00:44:40,970 --> 00:44:43,040 They have a straight people to fight 1259 00:44:44,060 --> 00:44:46,279 against homophobia, to stand up. 1260 00:44:46,280 --> 00:44:48,169 If a dude in your workplace make a 1261 00:44:48,170 --> 00:44:50,329 homophobic slur and stand up and say 1262 00:44:50,330 --> 00:44:52,399 something, not just sit there, make 1263 00:44:52,400 --> 00:44:53,899 your voice heard because your voice is 1264 00:44:53,900 --> 00:44:55,789 actually more hurt, you can have to 1265 00:44:55,790 --> 00:44:57,979 change this, but as long 1266 00:44:57,980 --> 00:44:59,629 as it is, we have to make our voices 1267 00:44:59,630 --> 00:45:00,630 heard. 1268 00:45:02,240 --> 00:45:04,369 This isn't strictly 1269 00:45:04,370 --> 00:45:05,780 about empathy, right? 1270 00:45:06,800 --> 00:45:09,079 Because empathy kind of requires 1271 00:45:09,080 --> 00:45:11,149 you to feel the way the 1272 00:45:11,150 --> 00:45:13,039 other other person is feeling. 1273 00:45:13,040 --> 00:45:14,599 And I think this can be a death trap 1274 00:45:14,600 --> 00:45:16,909 because I, as a white person, 1275 00:45:16,910 --> 00:45:19,009 cannot possibly know how it 1276 00:45:19,010 --> 00:45:21,589 really feels to 1277 00:45:21,590 --> 00:45:23,479 go around to street day by day and be 1278 00:45:23,480 --> 00:45:25,549 targeted by racial microaggressions or 1279 00:45:25,550 --> 00:45:27,679 something. I, as the men, cannot know how 1280 00:45:27,680 --> 00:45:29,899 it feels to have a Twitter account 1281 00:45:29,900 --> 00:45:32,089 and be bombarded with all this kind 1282 00:45:32,090 --> 00:45:33,090 of bullshit comments 1283 00:45:34,280 --> 00:45:36,590 because I just don't get them mostly. 1284 00:45:38,750 --> 00:45:41,449 So to quote from Creighton. 1285 00:45:41,450 --> 00:45:43,669 Empathy relies on someone else being 1286 00:45:43,670 --> 00:45:45,769 able to understand the suffering of 1287 00:45:45,770 --> 00:45:48,049 others in order to do anything 1288 00:45:48,050 --> 00:45:50,419 about it. And she goes on to say, 1289 00:45:50,420 --> 00:45:52,519 We don't need to understand the suffering 1290 00:45:52,520 --> 00:45:54,619 of others to take action, to minimize 1291 00:45:54,620 --> 00:45:57,199 the pain. We only need to be aware 1292 00:45:57,200 --> 00:45:59,749 that the potential for suffering exists. 1293 00:45:59,750 --> 00:46:01,419 We need to be aware that there's. 1294 00:46:01,420 --> 00:46:03,039 Picking up, we need to be aware 1295 00:46:04,420 --> 00:46:06,849 of of the dynamics. 1296 00:46:06,850 --> 00:46:09,519 And is this awareness that 1297 00:46:09,520 --> 00:46:11,559 makes it possible to consistently act? 1298 00:46:11,560 --> 00:46:14,229 It's not to empathy because we just 1299 00:46:14,230 --> 00:46:16,029 might not be able to feel this, but we 1300 00:46:16,030 --> 00:46:18,459 can always be able to be 1301 00:46:18,460 --> 00:46:19,460 aware. 1302 00:46:22,080 --> 00:46:24,059 Nothing organized. 1303 00:46:25,080 --> 00:46:26,249 Of course, 1304 00:46:26,250 --> 00:46:28,199 we have to go on the streets that we have 1305 00:46:28,200 --> 00:46:30,269 to go and we have to take collective 1306 00:46:30,270 --> 00:46:32,819 action, not only if you're feeling 1307 00:46:32,820 --> 00:46:34,799 the feeling the impact, but by being 1308 00:46:34,800 --> 00:46:36,659 aware that others are feeling the impacts 1309 00:46:36,660 --> 00:46:38,519 or might be in danger of feeling the 1310 00:46:38,520 --> 00:46:39,520 impact. 1311 00:46:41,610 --> 00:46:43,829 We have to prioritize communities over 1312 00:46:43,830 --> 00:46:46,019 competition because in the capital market 1313 00:46:46,020 --> 00:46:47,849 space, we're all competing against each 1314 00:46:47,850 --> 00:46:50,549 other and this is how this works. 1315 00:46:50,550 --> 00:46:52,829 By focusing on communities and building 1316 00:46:52,830 --> 00:46:54,089 health the communities over this 1317 00:46:54,090 --> 00:46:56,219 competition, we can go a step 1318 00:46:56,220 --> 00:46:58,559 into into 1319 00:46:58,560 --> 00:47:00,749 resolving this competition and 1320 00:47:00,750 --> 00:47:02,819 making this a thing of the past. 1321 00:47:02,820 --> 00:47:05,279 We have to prioritize communities 1322 00:47:05,280 --> 00:47:07,079 over companies. 1323 00:47:07,080 --> 00:47:09,269 Tech companies are very good in building 1324 00:47:10,590 --> 00:47:11,159 and 1325 00:47:11,160 --> 00:47:13,109 building like a company community, and 1326 00:47:13,110 --> 00:47:14,879 basically all you have to do is live and 1327 00:47:14,880 --> 00:47:16,049 breathe for the company. 1328 00:47:16,050 --> 00:47:18,479 And I think that's not necessarily 1329 00:47:18,480 --> 00:47:19,480 correct. 1330 00:47:20,250 --> 00:47:22,619 There are fights of communities inside 1331 00:47:22,620 --> 00:47:24,539 companies, probably, and it's cool that 1332 00:47:24,540 --> 00:47:26,309 they are there. But the company is not 1333 00:47:26,310 --> 00:47:28,169 your community. The company is someone 1334 00:47:28,170 --> 00:47:30,299 who has hired you 1335 00:47:30,300 --> 00:47:32,189 to make money out of your labor. 1336 00:47:32,190 --> 00:47:34,649 That's not a nice basis 1337 00:47:34,650 --> 00:47:37,079 for community, and 1338 00:47:37,080 --> 00:47:39,599 we have to prioritize communities 1339 00:47:39,600 --> 00:47:41,189 of nations. 1340 00:47:41,190 --> 00:47:43,289 We have to be 1341 00:47:43,290 --> 00:47:45,449 aware that other people in other states 1342 00:47:45,450 --> 00:47:47,279 are basically fighting the same fights we 1343 00:47:47,280 --> 00:47:48,280 do. 1344 00:47:49,080 --> 00:47:51,419 For example, GetUp currently 1345 00:47:51,420 --> 00:47:52,619 has a contract running with the 1346 00:47:52,620 --> 00:47:55,209 immigration enforcement agency in the 1347 00:47:55,210 --> 00:47:57,599 in the US, and this is an agency that 1348 00:47:57,600 --> 00:47:59,759 puts children into cages to 1349 00:47:59,760 --> 00:48:01,319 deport them and separated from their 1350 00:48:01,320 --> 00:48:02,909 families, which is a very, very evil 1351 00:48:02,910 --> 00:48:04,139 thing to do. 1352 00:48:04,140 --> 00:48:06,299 And still, GetUp refuses to drop 1353 00:48:06,300 --> 00:48:08,429 the contract and just a reminder to 1354 00:48:08,430 --> 00:48:10,829 anyone to get up and say, Listening, 1355 00:48:10,830 --> 00:48:12,239 please drop the contract. 1356 00:48:13,980 --> 00:48:15,329 So we are in this together. 1357 00:48:15,330 --> 00:48:17,699 We underst together against nations 1358 00:48:17,700 --> 00:48:19,799 boundaries and boundaries, 1359 00:48:19,800 --> 00:48:21,539 and we can make this count. 1360 00:48:22,650 --> 00:48:24,449 I know I'm running out of time, so I 1361 00:48:24,450 --> 00:48:26,519 quickly come 1362 00:48:26,520 --> 00:48:27,329 to the end. 1363 00:48:27,330 --> 00:48:29,519 Just in time, arrive a perfect 1364 00:48:29,520 --> 00:48:30,629 and quickly come to the end. 1365 00:48:30,630 --> 00:48:32,969 Yeah, so a warm welcome at the first 1366 00:48:32,970 --> 00:48:35,309 beginning before we start with the Q&A 1367 00:48:35,310 --> 00:48:36,629 session. If there's 1368 00:48:36,630 --> 00:48:39,279 a time to do one last 1369 00:48:39,280 --> 00:48:41,369 one, I think, OK, collective action 1370 00:48:41,370 --> 00:48:42,629 will be a challenge. 1371 00:48:42,630 --> 00:48:44,069 We have to take back the streets and we 1372 00:48:44,070 --> 00:48:46,289 have to make racists afraid again. 1373 00:48:46,290 --> 00:48:47,939 We have to, for example, build big data 1374 00:48:47,940 --> 00:48:49,229 against technology, disappears from 1375 00:48:49,230 --> 00:48:51,359 white. The ruthlessness which I will show 1376 00:48:51,360 --> 00:48:51,479 in a 1377 00:48:51,480 --> 00:48:52,979 second and 1378 00:48:52,980 --> 00:48:53,980 we have to be like grumpy cat 1379 00:48:55,410 --> 00:48:57,629 and we need to act because 1380 00:48:57,630 --> 00:48:59,099 if we don't act, we will look like a 1381 00:48:59,100 --> 00:49:00,359 bunch of overpaid ballocks. 1382 00:49:00,360 --> 00:49:02,159 And I think this is a very bad look. 1383 00:49:02,160 --> 00:49:04,419 And I want to give the last book of talk 1384 00:49:04,420 --> 00:49:06,299 to you because I book who in and a 1385 00:49:06,300 --> 00:49:08,309 hundred years ago said Act Act 1386 00:49:08,310 --> 00:49:10,229 courageously, resolutely and 1387 00:49:10,230 --> 00:49:11,230 consistently. 1388 00:49:12,510 --> 00:49:14,729 OK, so dolphins again 1389 00:49:14,730 --> 00:49:16,469 talk. This is the slides in front or 1390 00:49:16,470 --> 00:49:17,470 Russell. 1391 00:49:17,920 --> 00:49:19,539 Thank you, blah blah blah blah blah blah 1392 00:49:19,540 --> 00:49:21,000 blah blah blah blah. 1393 00:49:23,130 --> 00:49:24,360 You have been tipped off. 1394 00:49:25,500 --> 00:49:27,779 We are not finding what we feel Sergeant 1395 00:49:27,780 --> 00:49:29,979 Vincent Rice and Michael Fauna 1396 00:49:29,980 --> 00:49:32,289 of Elliston Canines Shaun 1397 00:49:32,290 --> 00:49:33,420 of the Arrest Disaster. 1398 00:49:35,010 --> 00:49:37,289 Hey, thanks for the talk and thanks 1399 00:49:37,290 --> 00:49:39,419 for the positive points you 1400 00:49:39,420 --> 00:49:40,420 made in the end. 1401 00:49:41,280 --> 00:49:42,280 Very fast. 1402 00:49:43,890 --> 00:49:46,079 But I think it's hard to keep 1403 00:49:46,080 --> 00:49:48,179 the fun and the feeling 1404 00:49:48,180 --> 00:49:50,279 of freedom in an internet that we lose 1405 00:49:50,280 --> 00:49:52,739 more and more to private companies. 1406 00:49:52,740 --> 00:49:55,109 And I, yeah, you 1407 00:49:55,110 --> 00:49:56,669 made the point at the beginning that a 1408 00:49:56,670 --> 00:49:58,769 lot of people look at Facebook 1409 00:49:58,770 --> 00:50:01,829 and think this is the internet, and 1410 00:50:01,830 --> 00:50:03,929 I think this step has 1411 00:50:03,930 --> 00:50:05,039 gone further. 1412 00:50:05,040 --> 00:50:07,019 A lot of people look at the smartphone 1413 00:50:07,020 --> 00:50:09,179 and think this is a computer 1414 00:50:09,180 --> 00:50:11,279 and this is the internet, but 1415 00:50:11,280 --> 00:50:13,499 it's just a bunch of applications. 1416 00:50:13,500 --> 00:50:16,109 And as long as the young people 1417 00:50:16,110 --> 00:50:18,089 get used to the internet through this, I 1418 00:50:18,090 --> 00:50:20,519 think it is hard to break 1419 00:50:20,520 --> 00:50:21,599 this feeling. 1420 00:50:21,600 --> 00:50:22,709 That's hard to break this off. 1421 00:50:22,710 --> 00:50:24,479 I think it's vitally important that we 1422 00:50:24,480 --> 00:50:26,109 that we kind of have another feeling it 1423 00:50:26,110 --> 00:50:27,449 that we have maybe have another approach 1424 00:50:27,450 --> 00:50:28,349 to technology. 1425 00:50:28,350 --> 00:50:30,509 Go out there and teach, teach 1426 00:50:30,510 --> 00:50:32,489 people, young people, old people, middle 1427 00:50:32,490 --> 00:50:34,769 age people and make 1428 00:50:34,770 --> 00:50:36,809 make the point for an alternative and 1429 00:50:37,980 --> 00:50:39,959 try to try to build something something 1430 00:50:39,960 --> 00:50:41,909 positive. And this is also a I think fun 1431 00:50:41,910 --> 00:50:43,409 can be very vital to do this. 1432 00:50:45,460 --> 00:50:46,629 Thanks. 1433 00:50:46,630 --> 00:50:49,030 Yes. On the left, there's the question. 1434 00:50:50,320 --> 00:50:51,249 Yeah. 1435 00:50:51,250 --> 00:50:52,869 Thank you a lot for your talk. 1436 00:50:52,870 --> 00:50:54,939 I just want like if you don't mind, I 1437 00:50:54,940 --> 00:50:57,099 would like to compliment on two aspects 1438 00:50:57,100 --> 00:50:58,059 you mentioned. 1439 00:50:58,060 --> 00:50:59,769 And the first is the notion of free 1440 00:50:59,770 --> 00:51:01,839 speech, because I actually think 1441 00:51:01,840 --> 00:51:03,969 rather than talking about which 1442 00:51:03,970 --> 00:51:06,369 speeches should we allow, we should 1443 00:51:06,370 --> 00:51:07,479 just be conscious that there's a 1444 00:51:07,480 --> 00:51:09,609 difference between the freedom to 1445 00:51:09,610 --> 00:51:12,029 speech and the freedom to discriminate. 1446 00:51:12,030 --> 00:51:14,319 Yeah. And there's actually plenty 1447 00:51:14,320 --> 00:51:16,449 of really problematic opinions which 1448 00:51:16,450 --> 00:51:19,029 can be voiced without 1449 00:51:19,030 --> 00:51:21,429 being upfront hateful. 1450 00:51:21,430 --> 00:51:23,529 So I 1451 00:51:23,530 --> 00:51:24,789 think this is what this is actually 1452 00:51:24,790 --> 00:51:27,249 about, that people go back to actually 1453 00:51:27,250 --> 00:51:29,439 voiced a really problematic opinions 1454 00:51:29,440 --> 00:51:31,149 in ways that don't directly threaten 1455 00:51:31,150 --> 00:51:33,399 individuals. And so I think, yeah, 1456 00:51:33,400 --> 00:51:35,559 rather than just always mention 1457 00:51:35,560 --> 00:51:37,839 this free speech and oh, it's threatened, 1458 00:51:37,840 --> 00:51:39,669 let's just make this differentiation 1459 00:51:39,670 --> 00:51:40,929 really clear. 1460 00:51:40,930 --> 00:51:43,149 And then the other point is about the 1461 00:51:43,150 --> 00:51:45,429 disappearance of women 1462 00:51:45,430 --> 00:51:46,430 from technology. 1463 00:51:47,440 --> 00:51:48,519 There's actually something really 1464 00:51:48,520 --> 00:51:50,799 interesting, and it's that 1465 00:51:50,800 --> 00:51:53,409 as soon as any kind of profession 1466 00:51:53,410 --> 00:51:55,599 becomes valued and that 1467 00:51:55,600 --> 00:51:58,089 this value is reflected by actual 1468 00:51:58,090 --> 00:52:00,519 pay, your higher pay, it starts becoming 1469 00:52:00,520 --> 00:52:02,589 a male-dominated profession. 1470 00:52:02,590 --> 00:52:04,209 And I just wanted to mention that 1471 00:52:04,210 --> 00:52:05,589 because, yeah, you showed how as soon as 1472 00:52:05,590 --> 00:52:07,809 he was becoming engineering, it became 1473 00:52:07,810 --> 00:52:09,219 a male profession. 1474 00:52:09,220 --> 00:52:10,719 And like statistically, and this is true 1475 00:52:10,720 --> 00:52:12,969 for at least, I know that is true for 1476 00:52:12,970 --> 00:52:14,859 almost all European countries, if you can 1477 00:52:14,860 --> 00:52:16,629 really observe this phenomenon. 1478 00:52:16,630 --> 00:52:18,099 I actually had to send my speaking notes 1479 00:52:18,100 --> 00:52:19,389 and didn't say so. Thank you for 1480 00:52:19,390 --> 00:52:20,390 pointing. 1481 00:52:23,320 --> 00:52:25,809 Any question from the Internet? 1482 00:52:25,810 --> 00:52:27,969 No. So at the end, thanks 1483 00:52:27,970 --> 00:52:30,279 a lot of big applause for Oscar 1484 00:52:30,280 --> 00:52:32,859 and for this value input.