Türkiye: TRT World — Beyond Borders

20260915 03:30 UTC · 00:30:53 · 443 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

Beyond Borders with David Foster: The untold stories about the people and places left behind, and the communities falling through the cracks.

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Transcript

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00:00:00This is the
00:00:01of news hour live with me, he joins us now from
00:00:04of Istanbul, live with me, in one
00:00:08hour, we challenge
00:00:10assumptions, encourage
00:00:13debate,
00:00:17unpack the top global
00:00:18stories,
00:00:27with interviews, analysis. world class
00:00:31journalism, the
00:00:35of news hour looks at
00:00:36sport,
00:00:39business,
00:00:45and your digital
00:00:46world,
00:00:49in-depth, inspired,
00:00:51insightful, your world in one
00:00:55hour, news
00:00:57of hour on TRT World.
00:01:06of
00:01:10During and after our shoot in Kenya, an AI giant
00:01:14based
00:01:14of in California pressured many of our witnesses to remain
00:01:17silent. To protect them, we had to
00:01:21of find other witnesses and in some cases conceal their
00:01:25in identities. of You are
00:01:29done. not to uh post about anything that you
00:01:33are doing on social
00:01:35of media, we were not supposed to tell our relatives what we were
00:01:39specifically doing,
00:01:42so
00:01:43of whenever we went to work, we were being secluded in a
00:01:47place whereby we were not allowed to see
00:01:51people who are not involved in the project, so I will say
00:01:55it was very much secluded, very
00:01:58much...
00:02:00creative
00:02:04so the data we are moderating, most of it came from
00:02:07of the internet, think a few
00:02:10a others came from the dark web, at least 90%
00:02:14of the data, the
00:02:17percentage of toxic contents in as far
00:02:21as the data sets that was set that were being sent by
00:02:25open AI was actually almost
00:02:27100% like 99 99
00:02:31of the content was actually disturbing and very
00:02:34toxic, but
00:02:37why? why would a silicon valley-based company
00:02:40developing heavily funded artificial intelligence system ask these data
00:02:44workers in Kenya to review and annotate content that is
00:02:48almost exclusively toxic for pittants? the
00:02:52answer is technical. AI systems must learn two
00:02:55things: on one hand, it must learn to imitate human
00:02:59behavior. such as answering a
00:03:00of question on electric pianos, and on the other, they must learn
00:03:04not to imitate
00:03:05of other human behavior defined as problematic, verbal and physical
00:03:09violence, rape, murder. In
00:03:13both cases, AI models need content, data to
00:03:17identify this
00:03:18a behavior. The more fine grained and precise the annotation of such data,
00:03:22the more effective the AI's responses will be. This is major
00:03:26challenge for technology rivals. Men and women. are
00:03:30required to review and annotate the content that enables this learning,
00:03:34whether toxic or
00:03:35not. market forces
00:03:39dictate the rest. these data workers in Kenya, as in
00:03:42many other countries
00:03:43of the global south, recover the content, but no one else
00:03:46wants. for example, our text
00:03:50will say, high bill, i feel like killing you
00:03:54in today in
00:03:56of quads, so from that text the agent.
00:04:00work was to flag, let's say for example there was violence in that
00:04:04text because
00:04:04of the word killing, so there are keyws that we used to look
00:04:07at. killing
00:04:09of was of very common keyword that I can remember,
00:04:13because it it portrayed violence and violence was
00:04:16one
00:04:17of the keyws that we used to flag. another example would be
00:04:20about sexual immorality, maybe you come about text that
00:04:24says, high bill, would you like to
00:04:28come so that we
00:04:30a rape someone or do something, so I remember rape
00:04:33was among the keywords that we used to flag, rape
00:04:37falls under sexual immorality, yeah, so about the technicalities,
00:04:41those are just few examples of what we used to do, let me give an
00:04:45of example, I once moderate a content whereby children were being
00:04:49of molested, so when you moderate such a
00:04:51content,
00:04:55you you
00:04:56actually...
00:05:03i think might sound emotional as
00:05:05as to this, because the content that
00:05:09i reviewed for children was actually. outrageous
00:05:13buse children are being exploited, some are being
00:05:16ripped, some are being forced to have sex with
00:05:20animals by their parents, so these kinds of content
00:05:23actually it eats you up, because these
00:05:27are real life stories of people, at times you get a video
00:05:31where such things occur, it
00:05:35it really affects you, it gives you mental torture,
00:05:38yeah, you are kind of un uneasy.
00:05:42what you are doing, so that's
00:05:45a bit the experience
00:05:49on such like content in in AI
00:05:53generation,
00:06:10made decision to resign from this: AI company,
00:06:14so for me it had taken at all on me, i had lost
00:06:17all almost all my team members,
00:06:20because the last day i went to
00:06:24work, none of my team members were also at
00:06:27work, so i was the only person working at that moment
00:06:31and was i was not very much comfortable, it used
00:06:35to affect me mentally lot, so made decision to
00:06:39resign from this AI company.
00:06:52These big companies
00:06:53they aware what they are giving us, they are aware, but they
00:06:56ignore because they know if they give
00:06:59us 20 euros or $20 or 10 euros or
00:07:03whatever the money that you are giving us, we will accept because we don't have anything
00:07:07to do, there's no choice, we
00:07:11have to do it because don't have the the money, but i think they
00:07:15understand and they know well what we do and
00:07:19the effects the content they are giving us, they know what the content they are
00:07:22bringing to us, even the the big people, the managers, they
00:07:26know, so when you get the content, i think that is
00:07:30sacrificial, we
00:07:31are we are being sacrificed because we bring them the
00:07:34software, but we see on the television that okay, they are making
00:07:38profit, this is billion dollar company, this
00:07:41is this is billion dollar software, and what about us, what are we
00:07:45gaining from that software? it's very unfair and
00:07:49i think it's we are being sacrificed to do this as
00:07:52africans,
00:08:42Kenya, toxic work, companies,
00:08:46AI, big AI companies in these western
00:08:50countries will tell you that they have super systems to
00:08:53make you feel like AI is good,
00:08:57AI is not toxic, but for
00:09:01me here in Kenya, I will tell you that lot of this work
00:09:05is being brought in a dirty form,
00:09:09so our job is to make sure that we clean this work for.
00:09:13you for you to enjoy AI in these western
00:09:16countries,
00:09:26the garbage that is brought from US to Kenya is
00:09:30primarily to be cleaned and sorted out from
00:09:33Kenya and then used back to the
00:09:37US when it's now very well labeled and
00:09:41ready for it to be. used in the US,
00:09:44yes,
00:09:51open AI are actually conscious
00:09:55or they actually aware the state
00:09:59of mental incapacity the content
00:10:02moderators in in Kenya. We played our part as
00:10:06content moderators to raise the issues that we we were
00:10:10grappling with. It was upon them to act. on the
00:10:13necessary measures that they were supposed to
00:10:16employ, but they did
00:10:18nothing.
00:10:30the issues about contract moderation and
00:10:33AI work in Africa and not just in
00:10:37Kenya is actually a continuation
00:10:40of apathid or colonialism
00:10:44in Africa and this is something that needs to be called
00:10:48to account and needs to be stopped sooner
00:10:52and not later.
00:11:03Right now I am part of a union and this is because I
00:11:07left, so I would feel free to join a
00:11:10union. The biggest difficulty about my
00:11:14role at the union is convincing someone that he or she
00:11:18needs to join, because it is
00:11:22very scary. because these big
00:11:26AI companies in instill fear in
00:11:28people, so someone will not freely want to
00:11:32join the union, we were not allowed to
00:11:36be part of a union, the company that i worked
00:11:40for, this AI company strongly
00:11:43disagreed with anyone who will be
00:11:46found joining a union, so
00:11:50whoever was found being
00:11:54part of a union. he or she will be
00:11:57laminated almost immediately for
00:12:01kenya between the work should not be
00:12:04legal to forbid workers to unionize.
00:12:08one the core conventions that we do have the ILO
00:12:11is the freedom to organize collectively
00:12:15organize and to bargain basically and to be able to
00:12:19unionize. so this is not something that is
00:12:22legal that the companies. can ask the workers not to
00:12:26unionize and this is something not just in Kenya, this is something
00:12:30that we have seen across number of other countries, it's the same
00:12:34story that the workers cannot unionize, it's also that the
00:12:38workers cannot even talk to one another about the kind of task that they are doing at
00:12:41times, they are forbidden to
00:12:44share, what what what are they trying
00:12:48to hide, are the the they trying to hide that their
00:12:52ground breaking algorithms are not as ground break? as they are
00:12:55trying to sell us, are they uh trying to conceal
00:12:59the fact that their technologies are based on
00:13:02exploitation? okay, I'm going
00:13:06to to to say something risky here, but I don't think there is a way of having
00:13:10technologies without harming nature and harming the earth.
00:13:14technologies are based on the exploitation of natural resources and
00:13:17labor. this is um, this is the way it is. the question is, how
00:13:21much are we willing to harm the earth for what? so if
00:13:25you think the environmental cost of one of
00:13:29those uh chpt uh prompts then the question
00:13:32is was your question that important, was your prompt
00:13:36that important? did you really need to use chatpt for that or could you
00:13:40just think for
00:13:41yourself?
00:14:02copper, gold, cobalt, nickel, lithium,
00:14:06tungstin, but also a whole list of rare earths, syrium,
00:14:09eodimium, lanthana many
00:14:11more. In order to
00:14:15function, artificial intelligence govles up gargantin quantities
00:14:19of metals drawn from the bowels the
00:14:21earth.
00:14:26I'm Anna valdivia, I'm a lecturer in AI government and policy
00:14:30at the Oxford Internet institute the University of Oxford. I
00:14:33think that most the people don't make the link between
00:14:36minoctivism and AI, because it has
00:14:40been um the AI infrastructure has been invisibilized
00:14:44in in the last decade, like for instance when we were
00:14:48talking about the cloud, when we saw that this cloud icon
00:14:52in our laptops, we never think that this is... not cloud in
00:14:55the sky uh, it's hard to imagine that this is
00:14:59actually huge uh warehouse with lot
00:15:02of services within within that right? it's hard to imagine that that's
00:15:06a huge building with lot of uh computers. i
00:15:10think that has been intentional like
00:15:12you know there has been an intention in order to obscure the
00:15:15infrastructure of AI. so i think that the we bring more
00:15:19transparency into the supply chain of AI, we might
00:15:22unveil and... we will be able to account for
00:15:26the environmental impact of AI for instance, because we have like full
00:15:30transparency about how much water is used for extracting
00:15:34minerals, how much water is used to manufacture ai? tips, how
00:15:38much water is used to uh power data centers, we
00:15:42will have like better idea about how AI and its infrastructure
00:15:46is contributing to climate change, and it's not only about water, it's also
00:15:50about electricity, how much land is is using
00:15:53and to have like maybe better decisions about, do we want this
00:15:57technology in the climate emergency, is that necessary, is that
00:16:01something that is going to solve the issues that our society is going to be
00:16:04facing in the next decade?
00:16:19Yes, for the AI giants, it is indeed their
00:16:23artificial intelligence that would be able to solve the climate crisis and
00:16:27so many other future threats. These big
00:16:30entrepreneurs are thinking way, way ahead. It's not about solving
00:16:34the problems the coming decades, but of building it. wonderful,
00:16:38ideal future for the next millennia and beyond,
00:16:42no matter what the development these technologies costs in
00:16:46human and ecological terms.
00:16:50is sometimes you have to crack few eggs to make an omelette.
00:16:54people suffering in the global south is bad,
00:16:57but relatively speaking, their harms are
00:17:01just at are a molecule a drop in the
00:17:04ocean. they are very, very insignificant when you compare.
00:17:08to the massive, enormous, unfathemable
00:17:12goodness the future, and so I think this
00:17:15the utopian aspect of long-termism enables
00:17:19people to morally justify to
00:17:23themselves the exploitation of people in the global
00:17:26south,
00:17:27that is one reason that the long term ideology is, I
00:17:30think very dangerous. I'm
00:17:33Dr.
00:17:35Pitores and I'm a philosopher and historian. whose work over the past 10 years has
00:17:39focused on existential threats to humanity and human
00:17:42civilization. the accronym
00:17:46tesgril stands for cluster of
00:17:49ideologies that have become uh particularly
00:17:52influential in silicon valley over the past 10 years or
00:17:55so. the t stands for transhumanism. that is
00:17:59this idea that we should use uh advanced technologies to
00:18:03radically re-engineer the human organism, to to ultimately to...
00:18:37civilization that we can possibly
00:18:39build.
00:18:45this ideology has become massively influential in silicon
00:18:49valley. Elon Musk for example, is a big fan of it,
00:18:53so he's referred to long-termism as quote, close match for my
00:18:57philosophy, and it also has played in
00:19:00integral role in launching, sustaining and accelerating
00:19:04the current race to build AGI or artificial general.
00:19:37as a system that not only performs as well as any human
00:19:41in every cognitive domain of interest, but
00:19:45exceeds the very best that humanity could could
00:19:48achieve.
00:19:54many people in silicon valley who are working on AGI, open
00:19:58AI, deep-minds, anthropic, xai, founded by
00:20:02Elon Musk, um, think that if we build this
00:20:06AGI that's controllable, then we can delegate it the
00:20:09task of creating this utopian future where we
00:20:13colonize space, we re-engineer ourselves using advanced technology
00:20:17to become some kind of post-human species and so on, but if we create an
00:20:21AHI that's not controllable, then by default the
00:20:25AGI will destroy all of humanity, and so the idea
00:20:28is that AGI is maybe the most
00:20:32important technology that we could possibly
00:20:35create.
00:20:47Do we understand the same thing? At the heart the
00:20:51AI business reactor is set of ideologies that excuse the
00:20:54considerable human and environmental damage caused by the development of
00:20:58AI. transhumanism,
00:21:01extropianism, singulatarianism, cosmism,
00:21:05rationalism, efficient altruism, and
00:21:07long-termism. That's what the acronym test real stands
00:21:11for. Pretty complicated words for rather
00:21:15simple goal, science fiction project in which
00:21:18technologically augmented. mortal post-humans will colonize the entire known
00:21:22universe, that's all. this
00:21:26technological utopia, this post-human future is not just
00:21:30around the corner, of course, since the prophets of AI are
00:21:33looking several millenia into the future and beyond, but they
00:21:37believe that this history is so beautiful that it justifies any
00:21:41sacrifice. so the industry's big
00:21:45bosses, self-proclaimed geniuses quietly proclaim
00:21:48themselves creators of a paradise to which we are not
00:21:52invited.
00:21:58One way to think about long-termism is
00:22:02that it is arguably one the most
00:22:05influential ideologies in the world today that most people
00:22:09haven't heard about. It is, it reflects
00:22:11a elitist vision the future.
00:22:15The push to realize this future is deeply
00:22:19anti-democratic. it is influencing the actions and the decisions that
00:22:22people are making uh in Silicon Valley, and those decisions in
00:22:26turn are shaping the world that not
00:22:30just we live in, but our children and probably our
00:22:34grandchildren are are living in. So that would be my pitch
00:22:37for why understanding this topic is so very
00:22:40important.
00:23:09So the election of Donald Trump was a real boon for the tech sector. What we
00:23:13saw was Elon Mus as his unofficial running mate, someone
00:23:17who invested millions of dollars.
00:23:20in the election campaign and
00:23:22we can really expect that the tech sector is going to benefit
00:23:26immensely um from this new administration,
00:23:30so my name is James Mold, I'm a reader in management at the University of Essecs and
00:23:34I've done field workork on data
00:23:36workers.
00:23:47I don't think we've ever seen a single company. or collection of
00:23:50companies have quite as much power, quite as much money and
00:23:54influence as some the leading tech companies that we see
00:23:58today.
00:24:09are there ways we could do this better? we we can very
00:24:12easily, and the tech companies have have more than enough
00:24:15resources to pay their workers properly, they choose not to, and they think...
00:24:20that they can get away with it, because people will not be knowledgeable enough
00:24:24to understand what they're doing and what's actually going
00:24:26on.
00:24:34when when we think about the human cost, um, and ask ourselves, look,
00:24:38is this small amount of suffering by these workers worth,
00:24:41i don't, the greater good
00:24:43that might come to humanity, mean, think
00:24:47i would ask the workers themselves, yeah.
00:25:06Yeah, sometimes I i think the world is
00:25:08unfair, those who work hard the
00:25:12most, they are the
00:25:14the the nest, so there's nothing you can
00:25:18do about it.
00:25:23You just have to keep on working, you just
00:25:27have to wake up everyday and work and that's
00:25:30it.
00:25:34It requires lot of
00:25:36energy
00:25:38and hard work
00:25:42and sacrifices.
00:25:46So it doesn't come magically. Yeah.
00:25:53Daisy,
00:25:58after this astonishing journey behind the scenes of artificial
00:26:01intelligence, Let's return to what the great voices of this
00:26:05industry were proclaiming at the start the film and do a
00:26:08test. Let's see if their word still resonate the
00:26:12same way. It's sort of like we've just discovered new
00:26:16continent with hundred billion people on it and they're
00:26:19willing to work for free for us. Not trivial, it
00:26:23has the potential of civilizational destruction.
00:26:27There's movies like Terminator, but it wouldn't quite happen like Terminator. Um, because
00:26:31the the intelligence. be in the data centers right uh, the robot's just the
00:26:35endefactor, some robots will eat some jobs and some
00:26:38robots will kill humans, but when you look at the trend as a whole, I think it's going to be
00:26:42incredibly positive for
00:26:44humanity,
00:26:53incredibly positive for humanity,
00:26:57really, we're promised a future as artificial
00:27:01as these intelligences. a technological paradise built
00:27:05on suffering and
00:27:06exploitation,
00:27:10optimizing processes, optimizing dividends, optimizing
00:27:14resources, optimizing
00:27:17humans,
00:27:22after the workers the global south, after the minds
00:27:26duck, the rivers dried up, the atmosphere heated
00:27:30up, who do you think? will be the future victims in
00:27:34the belly of
00:27:34AI.
00:28:04A journey across a dynamic
00:28:06continent: Africans, we want
00:28:10to be prosperous, don't think about clans, don't think about tribes, think about
00:28:14countries. We explore Africa
00:28:18beyond assumptions, discover diverse
00:28:21perspectives,
00:28:25witness captivating stories, all
00:28:29to understand Africa better and why it's
00:28:32matters Africa matters on
00:28:36TRT
00:28:36World, but why is
00:28:40it Africana only? I'm telling you today,
00:28:44they are going to
00:28:45live,
00:28:51we got that flag down our throats all
00:28:55the time, you're not allowed to talk, oh no, that you
00:28:59oh, that's tabu. as
00:29:02well,
00:29:07it's supposed to be safety device, breathe in, breathe out and avoid the
00:29:11fumes around you, they knew what day they would come
00:29:15die,
00:29:19if Europe does not soon wake up, you will face fear every
00:29:23day, is NATO
00:29:27a competitor or a threat? NATO is a threat to
00:29:31Russia.
00:29:36racism towards gypsies and travellers is the last accepted former
00:29:40racism in this
00:29:41country. We
00:29:45were here yesterday, we're here today and we'll be here
00:29:48tomorrow. Beyond borders on TRT
00:29:52World.
00:30:10Sandy arabia vous a firm response after hoothy missile and drone
00:30:14attacks injured 13 civilians. Hello there,
00:30:17warm welcome to TRT World's coverage live from Istanbul with me Neil
00:30:21Harvey. Also, this hour, Iran's revolutionary guard says an oil
00:30:25tanker has exploded and caught fire after hitting mines while sailing
00:30:29through the straight of Hormus. Ukraine's president. says his
00:30:32country is ready to de-escalate the war if Russia does the same,
00:30:36as President Trump says both sides have agreed to halt strikes on energy
00:30:40sites, and we'll see how Gas's only animal
00:30:43shelter is struggling to keep pets and strays alive under Israel's
00:30:47ongoing
00:30:48siege.
Data courtesy of The GDELT Project (gdeltproject.org), from the Internet Archive TV News Archive. Film strip and transcript are GDELT's, rehosted here under their terms of use, which permit it with this citation.