applications running when technology can actually find them, pay them a tiny amount of money, and then get rid of them when you don't need them anymore. a workforce that is disposable and underpaid. on a very good day, i could do $5.00 now. at a really bad day, i could do $0.10 now. i mean, is it possible for you to be less than the american minimum wage? and that's why i want to go in this direction in both millions of men and women are training artificial intelligence for next to nothing others are being hired and hidden out of sight to clean up social networks. you must have been told by rick looking theme to cannot mention that you are working for this like okay. we went under cover is one of these web cleaners working as a content moderator for facebook page.

and there's a few things that i saw. those things are going to stay with me because i remember them as it was yesterday to meet the workers hiding behind your screen. we're taking you to the factory of the future. that digital economy's best kept secret. ah, you know, it's just like a sausage factory. they don't want people to come in to see how this often does meet. i mean, i think it's just that i'm going to delve into the mysteries of artificial intelligence. we're heading to the west coast of the us here in san francisco and the silicon valley. the world of to morrow is being developed. it's the high tech hub of giants, gap,

facebook, youtube, hubert, netflix, and google. we have a meeting of figure 8, a business, specializing in artificial intelligence that primarily works with google, the founder lucas b wald. agreed to spend the morning with us. hello. hello guys. nice to meet you. thank you very much for your time, chris. i know you have a busy schedule. thank you. at 38 years old, this stanford graduate has already worked for the likes of microsoft and yahoo before founding his own company. once his microphone is on a quick tour of their startup style, california office space does our, our best guston play a cool and relaxed booth probably or worse dress than play with

the play? maybe i think a pretty good, i don't know, very kind of our area is actually where i like to work. my coffee got cold with and in the reception area and impressive display. these are some of our, some of our customers and the, the different things that they did with our, our products the, here's twitter. we help them remove a lot of people that were kind of bullying on their website. you know, american express is up in france and yeah, you know, i feel especially proud of, you know, something like tesco right is able to, to use us to improve their, um and website to show better search results. so people can find the items they're looking for and i don't see google chrome. no,

i don't know what do you know how like, why some of these get appeal? we frankly just saw a, this is mr. brown head of p r. a. after our visit, the founder explains the enigmatic name, figure 8, we call a company figure it because we think of it as a loop. and the loop really has these, these 2 parts, right? there's the humans that do the labeling. and then the machine learning that learns from the humans, and then it goes back to the humans for more labeling, right? so we think of this kind of like beautiful loop, right? where humans do the best things that humans can do. and the algorithms that artificial intelligence does the best things that the algorithms can do, and we put that together. and that's what we call it for you. ah, a to get

a better understanding of why i need humans to function. we stopped joking around and get out the computer so here's an example. you know, a lot of people these days are trying to build cars that automatically drive. like, for example, tesla has a system where you can drive around in a car, but of course it's incredibly important that these cars don't run into pedestrians . so the car camera just sees something like this. so it's really important that they build reliable systems that can identify people. and the way that they learned, identify people is looking at lots of pictures of what the cars seeing from the camera. and then i'm actually literally labeling where the people are. so here's a real example of how it works. if you wanted teach a self driving car to recognize a pedestrian, a human like you or i, it 1st has to identify pedestrians from photos and then feed this information to

the ai. and this process has to be done over a 1000, even a 1000000 times over, which can be very time consuming. this is where figure 8 gets involved using real people who are paid to do this work . to the task here is to look at this picture. and, and label where the people are. and so you get paid for this, you get paid to draw boxes around the people. how much. i'm not sure this task um, but you know, maybe it would be like um, you know, maybe $0.10 per person that you draw a box around. who do this up? have employees doing this jobs and labeling people? yes, it's contractors on our, in our network that log in and did these jobs, what do you mean by contractors on, on your network? what kind of people?

so it's like people that log into this and then and then want to work on these tasks. how many people work for figure 8 in this capacity is as labor's. yeah. so again, it's people can kind of come and go if they want to. so there's maybe around a 100000 people that kind of consistently work um every day for, you know, for certain use cases that we have. but then there's also millions of people that log in from time to time and work on tasks. and where do those people live? they live all over the world actually. so they live all over america and then they live all over the the world. ah, so who are these millions of people who are being paid to train a i technology in order to meet these contractors as figure a caused them. we leave silicon valley and had 500 miles north of san francisco in

oregon. ah, there we are. ha success. jerrod mansfield signed up to figure 83 years ago. he now spent several hours a week working for them. every day the company offers a list of tasks that he can complete for money. for example, training search engines long for this 1st one is showing examples of how to do it. the query is math and cheese progress and the 2 results are any is homegrown organic mac and cheese and handy is really should or microwave will macaroni and cheese, which are neither of them approaches. so it's saying that won't be equally bad matches. what's the use of doing that? a lot of it, i think it is to train search,

search algorithms. so like when someone said that a computer and types of products, the algorithm will be able to determine with more accuracy, what product it is that that person's looking for. for every 10 answers, jared earns less than one cent. to get an idea of how much money he can make, we leave him to work for 30 minutes. he's answered 180 questions over the course of half an hour. how much you earn $0.15 for how long a half hour. which would be 30 cents the hour. yeah. whichever pretty. definitely not level a livable wage. that's for sure. so they have with their i to do this. i mean they have right to do whatever they want. i am the one coming to them for a little tiny bits of, of coins on this website. and it's not we,

there's no contract between me and them. no contract, no salary, no guaranteed minimum wage. these ghost workers are paid to train software and robot using only one rule supply and demand with it definitely feels like i'm part of this invisible workforce. that is kind of made up of just random people throughout the world. and together we're kind of a training. what's going to replace the workforce as a whole? eventually jerrod is very philosophical about the idea. still he can afford to be to earn a real living. he has another job showing chicken in the supermarket for a little more than $1500.00

a month. figure 8 is just what he does on the side to earn a little extra cash. ah, the mediterranean is the world's most over fish see unsustainable exploitation of its fish dogs, which maureen biodiversity under great thread. a lesson the getting the quote are smith sure you understand this is he cut our system. i'm not going to pull the cookie careful with one up just to check in one or 2, but our lives despite the ease promise is to end over fishing by 2020. the situation is changing to slow. well, i'm very disappointed with the petition that they basically not in public interests. they also do not in the midst of the fishes,

the only interest of the fishery on the face of the only ones in danger. the fisherman also at risk of losing or picking them up 7 before they get to them about that. i'm going to bubble thought, i guess it might be real. she's been there wouldn't be abusive with l. look forward to talking to you all that technology should work for people. a robot must obey the orders given by human beings except where such order is it conflict with the 1st law, show your identification. we should be very careful about artificial intelligence. and the point obviously is to create truck rather than fear a very job with artificial intelligence,

real summoning with a robot must protect its own existence. with a after leaving oregon, we decided to take advantage of what we'd learned in america and sign ourselves up to figure 8 to train artificial intelligence on the sites. welcome page. small tasks are proposed at 12, or 12 sense. we chose this as our 1st task, drawing boxes around objects in images following the instructions. it took us

several minutes to draw around 10 objects and earn $0.02 on the list of task. figure 8 also offers evaluations of search engine answers. jared's task of choice. we could also listen to conversations and confirm if the recording features a man or a woman's voice. and if they are speaking english. hi is june there please. we work for hours without ever earning more than $0.30 an hour. ah, it's difficult to imagine that there are people who work on these task on a full time basis for in maine on the east coast of the united states, close to the canadian border. we've arranged to meet with one of the nets. ghost workers, the human side of the figure,

8 lou. her name is don carbone. she is 46 years old. oh, hello. oh, much. well, you're welcome. well, i, yes i how we had a blizzard, not that long now. and then you know what? it is also, i think negative 7. now don is a single mother. she lives here with 3 of her children. hey, this is what subsidized housing looks like up here. i mean, it's not bad for public housing. she lives and works here working on the figure 8 site all day.

i'll turn it on, like i said, right before 7 o'clock and get the initial stuff done. i'll, i'll turn it, i'll turn this off at 3 o'clock in the afternoon and then turn it back on at 9 o'clock at night. so i'll say 8 hours minimum. so i bust my like this would be the dashboard. and you can see i've done 6445 tasks since when 3 years see these different badges. now you start off, you have no batch and you have to do so many questions and yet so many, right? and then you get your 1st level badge, and then when you get to level 3, you have access to virtually all the tasks that are put up. what is your level right now? i'm on the 3 f in level 3. have been level 3 for quite a while. don is considered a high performing worker figure 8,

therefore offer sure more work than a beginner, but it isn't necessarily more interesting. ah, i have to put bounding locks around, people not really keen on the stone. the biggest problem is trying to find jobs that are viable right now. i don't have many years and it's definitely not better paid on a very good day. i could do $5.00 an hour at a really bad day. i could do $0.10 now. i mean it's, i mean, i have had some really, really good days until february. yeah. do you think that this is

a fair payment for sure. no. no, no, not at all. but i live in northern maine. we get a lot of snow it's. there's a very low job market and it helps fee as a stay at home mom. it, it helps with added income. yeah. don prefers to work from home because her youngest daughter jane has autism. when don wants to be there to take care of her when she gets home from school at 3 pm. so i was go good day or bad day. really a good day, lou with her autism. i always have to be ready to jump my car, go get a phone. so i mean, it could happen one day or the week,

or not at all or 3 days out of the week. and the school is very understandings. i mean, i have to take out the whole week if i was working out of the home done receive $750.00 in government aid every month, which isn't enough to cover all of her bills. this is why she signed up to figure 8 by working 8 hours a day and 5 days a week. she says she earns on average $250.00 a month on the site. on figure 8, the pay is non negotiable. if you refuse the work, there will always be someone else to take it all. there is an unlimited supply of these ghost workers coming from all over the world. it's probably why lucas be walt

is so happy. but he isn't the only one to take advantage of this phenomenon. lou, various other businesses propose these sorts of repetitive and under paid online tasks, the biggest amongst them being click worker and amazon mechanical turk, a platform provided by amazon and his boss, jeff bezos, who invented the concept in 2005. think of it is micro work. micro working is a growing concerned for the i l. o. the international labor organization, a u. n. agency in charge of protecting worker's rights across the globe. hello, janet. this is john jeanine. burke is the resident expert on this subject at the i l. l, who speaks to us through skype with globalization. you can see here it is a kind of a global labor force here. it's the next step is really does the service industry

that can break up? we're into kind of very short little 16 tasks. oh damn village issue to workers all over the world to compete for the job. do the job and the price of the wages are jury down because it is globally respite, and the technology has, has says to retain s t s the other. the main advantage janine berg wrote a report calculating that micro workers earned on average $3.00. $0.31 an hour without any rights in return. workers extreme vulnerability is the key to lucas b walls business model. after months of investigations, we found this video from 2010 that sums up his view of the labor force. before the internet,

it'll be really difficult to find someone sitting down for 10 minutes and get them to work for you and then fire them after the 10 minutes. but when technology can actually find them, pay them the tiny amount of money, and then get rid of them when you don't need them anymore. well, we were interviewing him. we wanted to ask him if he still shared the same opinion . but when we start talking about work conditions, the figure 8 founder seemed to lose his sense of humor. do you have an idea that i would revenue per hour of your contributor? you know, i'm not sure it's totally dependent on the task that someone puts in. and it's hard to track time on the internet because people can walk away from their computer and come back. so i don't know how much people don't really make. there was a report on i know seeing that on average the people working on crowdsourcing were bait 3.331 dollars an hour. would that be consistent with what you

pay again, i'm not sure. is it possible for you to pay less than the american minimum wage? is it can be possible. so this is legal. i am not sure you want to go in this direction. yeah. i think it's a different direction and i rather this little more a i thing. yeah. but this is the whole thing. i mean this is about crowdsourcing as well. so i have to ask questions on crowdsourcing. oh, because it was more i had them for more than a i conversation in the crowd sourcing conversation. now i don't know. i think we should i don't really wanna do. oh yeah. well we can find someone else to other stuff. okay. so is not comfortable with it with this part of the ah, noth gosh. now if you're a it is an important part of the conversation. i think that it is not b a i can't say, ah, we don't have time to pull up the video lucas,

be walt makes a hasty exit without saying good bye. and leaves us alone with his head a p. r. one last chance to ask how the business treats these contractors as they call them here i was when i was working on this, i found many people complaining being disconnected for an effort. i actually have to go now to suits 11 o'clock. okay. oh, so you don't want to to speak about human envelope? does that happen? all right, i think we're done so only artificial intelligence. no human. well, that's what we're prepared for, so. sorry. okay, it's a pity to get some answers to our questions about lucas b. walt and his views on his workers. we thought we'd try a different tax. oh

mm hm. on the day, the figure 8 founder made his statement on disposable workers. there were other entrepreneurs amongst him, as well as a researcher lily iranian, just on the right. ah, 10 years after the conference we find lily living south of los angeles, california. ah, really, you ronnie teaches at the university of san diego and one of her special subjects is the working culture of high tech business. ah, we're lucky. she has a good memory to remember if somebody reacted after this sentence, which is very brutal in a certain way. to be honest, i the reaction was nothing. i remember that panel. every one went up to him to talk

to him. and 2 or 3 people came out to me to talk about the ethics of this form of labor. this is a room full of highly educated people in san francisco, and nobody bad an eyelash. how do you extend that? you know, the kinds of people who have access to these spaces are the kinds of people never worked in a situation where they wondered if they could make ranch or they never worked in a situation where, you know, somebody gets sick and they can't pay someone to go take care of them. so they have to kind of take a really bad job at home. and they have no connection to the kinds of situations of the people that are willing to do this work. is what happens when you go to schools like stanford and harvard and princeton. they'll tell you you're the smartest person and you're going to be a future leader. and you've been chosen because you're special and that you have the power to change the world.

join me every person on the alex, simon, when i was speaking to guess on the world politics sport business. i'm sure business. i'll see you then. ah, when you move, they directly re sell, advertise, says content to us and decide who sees what content when and how much of it. facebook claims that these algorithms are there to learn about our specific preferences. actually, this is untrue. they are shaping preference. if tomorrow the person finds a fake point where the kid video, when it saying the black, then this content ranks. huh. at least 20 percent or maybe even 40 percent.

believe it's true. it's a very dangerous thing. the mediterranean is the world's most over fish, seen on sustainable exploitation of its fish dogs, which maureen biodiversity under great thread, assuming your selection. again, the quote are swish or your stylus because our system. i'm not going to pull the cookie careful for a tech and want to put our lives despite the eas promises to end over fishing by 2020. the situation is changing to slow. well, i'm very disappointed with attrition that they've basically not in public interests. they also do not in the mid interest of officially the only interest of the fishery and the facial the only ones in danger. the

fishermen also at risk of losing all hope, i get them up to them before they get to them about that. i'm with the bubble thought, i guess it might be with liberty abuse o'clock. i'm screening a july a now it shows things wrong when i just don't know. i mean, you have to see how the theme becomes the advocate and engagement. it was the trail when so many find themselves, well the part we choose to look for common ground back, kaiser's financial survival guide. housing, rob? oh oh, you mean there's a downside artificially more mortgage, right?

don't get carried away. what kind of report ah, these top stories right now were russian official brands claims the country 70 percent ready to invade ukraine. as us propaganda saying, it's based on unnamed officials, undisclosed sources, and no evidence in the latest. and a series of accusations of alleged russian aggression being held on a daily basis. now the canadian capital declared a state of emergency with the authorities, claiming the cities on the siege as thousands of truck drivers peacefully protest against vaccine mandates. saying the government's trying to portray them as extremists rules are not for everyone. it seems to have the testing positive for cove and australian athlete is allowed to compete in the winter olympics. instead of being put in isolation or to report from beijing a little later.