yes, to shape out the same because after an engagement equals the trail, when so many find themselves will depart and we choose to look for common ground in this in any way cap. it's 2027 new 20. every new. the new one in 2027. sarah takes care of everything for the pigeon, just because you will get that daniel denise on t p to the when sarah is

a virtual assistant, who knows exactly what's best for you. well, that's about to describe the image in the people that would need it for it's children just wanted to swap to i still in addition to process everywhere you go. artificial intelligence like sarah predicts your needs and does the work for you? ah. busy ah, with all of these machines working for you, isn't life wonderful in 2027 but let's not get carried away. before sarah changes your life forever, there's another story to tell one with less special effects.

this story takes place behind the scenes of those businesses who are working to invent our future. for now, it's hardly this wonderful world where machines are working entirely for mankind. fact, you can say it's exactly the opposite, and humans are involved in every step of the process. when you're using anything online, but we're sold as this miracle of automation. google, facebook, amazon. these digital giants are using a completely invisible workforce to keep their applications running. with the technology, you 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 to do $5.00. now. a really bad day. i could do $0.10 now.

i mean it, is it possible for you to be less than the american minimum wage? i'm not sure what to go in this direction. was millions of men and women are training, artificial intelligence for next to nothing. others are being hired and hidden out of sight that clean up social networks. you must have been told by recruiting team that you cannot mention that you are working for this project. we went under cover is one of these web cleaners working as a content moderator for facebook. 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 or taking you to the factory of the future. that digital economy's best kept secret. ah,

you know, it's quite a factory. they don't want people to come in to see how often have made. i mean, i think it's just 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 tomorrow is being develop the it's the high tech hub of giants, like apple, facebook, youtube. hoover, netflix. in google, the we have a meeting, a 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, guys, nice to meet you. thank you very much for your time course. 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 and office space is our, our best gustin play. cool and relaxed. probably. or we're just employed please, 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 and in the reception area and impressive

display. these are some of our, some of our customers. and the different things that they did with our, our product. so here's twitter. we help them remove a lot of people that were kind of bullying on their website. you know, american express is that 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 website to show better search results. so people can find the items they're looking for. and i don't know, i don't know. what do you know how like, why some of these get frankly, just stop in this is mr. brown had a p r ah, after our visit, the founder explains the indic magic knee figure 8. ah,

we color 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 beautiful loop, right? right. 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. ah, to get a better understanding of why i need humans to function. we stop joking around and get out the computer. ah. so here's 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 use something like this. so it's really important that they build reliable systems that can identify people. and the way that they learn to identify people is looking at lots of pictures of what the cars seeing from the camera. and then actually literally labeling where the people are in the here's a real example of how it works. if you want to teach yourself driving car to recognize a pedestrian, a human like you or i at 1st has to identify pedestrians from photos and then feed this information to the a i. 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 a gets involved using real people who are paid to do this work. so the

task here is to look at this picture. and then label where the people are. and so you get paid for this, you get paid to draw boxes around the people. how much, you know, i'm not sure this task. but, you know, maybe you will be like maybe $0.10 per person that you draw a box around. who do this job employee doing these jobs and labeling people? yes, it's contractors on our, in our network, the log in and do these jobs. what do you mean by contractors on, on your network? what kind of people? so it's like people that log in to this and then and then want to, to work on these tasks. how many people work for? figure 8 in this capacity as, as laborers. yeah. so again, it's people can kind of come and go if they want to. so there's maybe around 100000

people that kind of consistently work 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? and they live all over the world actually. so they live all over america and then they live all over the world. so who are these millions of people who are being paid to train a technology in order to meet these contractors as figure a cause them relieve silicon valley and head 500 miles north of san francisco in oregon. ah, there we are. here at 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 i for this 1st one, it's showing examples of how to do it. the query is math and she's per rubies. and the 2 results are any homegrown organic mac and cheese and, and he's really should or microwave or macaroni and cheese which are neither of them are produce. so it's saying that want to be equally bad matches. what's the use of doing that? a lot of it, i think, is to train search, search algorithms. so like when someone says, the computer and types a product, the algorithm will be able to determine with more accuracy, what product it is that that person is looking for.

for every 10 answers curate earns less than one sent to get an idea of how much money he can make. we leave him to work for 30 minutes. he's answered $180.00 questions over the course of half a our how much you earned $0.15 for how long a half hour which would be 30 cents the hour. yeah. which are pretty definitely not level a livable wage. that's for sure. so they have the right to do this. i mean, they have right to do whatever they want. i'm 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

robots using only one rule supply and demand. but it definitely feels like, 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 training what's going to replace the word for the whole. eventually jerrod is very philosophical about the idea. still he can afford to be to earn a real living. he has another job selling 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. ah, ah, me and i make no, you know,

board is adams blind to tease emerge we don't have authority. we don't actually, the whole world needs to take action and be ready. not a joke. people judge. 2 crisis we can do better, we should be better. everyone is contributing each of their own way, but we also know that this crisis will not go on forever. the challenge is paid for the response has been massive. so many good people are helping us. it makes it feel very proud that we need together in oh right now, there are 2000000000 people who are overweight or obese. it's profitable to sell

food that is fatty and sugary and faulty and addicted. not at the individual level. it's not individual willpower. and if we go on believing that will never change as obesity epidemic, that industry has been influencing very deeply. the medical and scientific establishment, ah, what's driving the mac, it's corporate, me. ah, 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 task or proposed at one or 2 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. they are please. we work for hours without ever earning more than $0.30 an hour. i. it's difficult to imagine that there are people who work on these tasks on a full time basis. we're in main 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, a loop. ah, her name is don carbone. she is 46 years old. oh, hello. you know so much. you're welcome. yes, we had a blizzard not that long ago, and then we got more. and it's also, i think negative 7 done is a single mother. she lives here with 3 of her children. 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, my before 7 o'clock and get the initial stuff done. 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 and bus my this would be the dashboard. you could see i'm done 6445 tasks since went 3 years. see these different badges. you start off, you have no batch and you have to do so many questions. you get so many right? and then you get your 1st level bad. and then now when you get to level 3, you have access to virtually all the tasks that are put up. what is your level level right, right now 3 at level 3. have the level 3 for quite

a while. don is considered a high performing worker figure 8, therefore oper, sir more work than a beginner, but it isn't necessarily more interesting. ah, i have to put bounding locker room people not really keen on this job. the biggest problem is trying to find jobs that are viable right now. i don't have many. oh and it's definitely not better paid on a very good day. i could do $5.00 now a really bad day. i could do $0.10 now. i mean, i mean i have had some really, really good days until february. yeah. do you think this is

a fair payment? was you? no, 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 help fee as a stay at home mom it it helps with that income. yeah. dont prefers to work from home because her youngest daughter jane has autism. done wants to be there to take care of her when she gets home from school at 3 pm. so i will go good day or bad day. really a good there with her autism. i always have to be ready to jump my car and go get her from school. 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 understanding. so 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 our 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, the all on figure 8, the pay is non negotiable. if you refuse the work, there will always be someone else to take it. oh, 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. various other businesses propose these sorts of repetitive and underpaid online task, the biggest amongst them being click worker and amazon mechanical turk, a platform provided by amazon, and it's boss jeff bezos who invented the concept in 2005. think of it is micro work. micro working is a growing concern for the i l o, the international labor organization, a us agency in charge of protecting worker's rights across the globe. hello, jen. jeanine berg because the resident expert on this subject at the low who speaks to us through skype with globalization, you can see the emergence of kind of

a global labor force here. it's the next step. it's really the, the service industry that can break up work into kind of very short cap and then dive all due to, to workers all over the world to compete for the job. do the job. the price of the wages are dirt down because of the global labor supply and the technology has, has facilitated f t. the other the main advantage. jeanine berg wrote a report calculating that micro workers earned on average $3.31 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. sit him down for 10 minutes and get them to work for you and then fire them out of those 10 minutes. but with technology you can actually find them. pay them a tiny amount of money, and then get rid of them when you don't need them anymore. while 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 humour. do you have an idea that i will driven you 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. they want to report on. i know thing that on average, the people working on crowd sourcing were paid 3.331 dollars an hour. would that

be consistent with what you pay? again, i'm not sure. is it possible for you to be less than the american minimum wage? is it can be possible. so this is legal i'm not sure we want to go in this direction in, you know, it can we pick a different direction and i rather the folks are more than then. yeah, but this is the whole thing. i mean this is about crowdsourcing as well. so i have to ask questions on crowdsourcing because it's more i just, i have to promote a conversation. going to counselor conversation. no, i don't know. i think we should, should. i don't really want to do. yeah. we can find someone else to talk about the stuff. okay. so it's not comfortable with it. with this part of the question. now you're right. it is an important part of the conversation, but i think it's not we don't have time to

pull up the video. lucas, be wild, makes a hasty exit without saying goodbye. 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. when i was working on this, i found many people complaining being disconnected. and i, and i actually have to go now to suits, 11 o'clock. okay, so, so you don't want to to speak about human and then after that i think we're done so only artificial intelligence, new human. well, that's what we're prepared for, so sorry. okay, it's a bit to, 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 on

the de, the figure, a founder made his statement on disposable workers. there were other entrepreneurs amongst him, as well as a researcher lily eroni, just on the right. the 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 specialist subjects is the working culture of high tech business. ah, we're lucky, she has a good memory. do you remember if somebody reacted after this sentence, which is very brutal in a certain way?

to be honest, the reaction was nothing. i remember that panel. everyone 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 batted an eyelash. how do you extend that? you know, the kinds of people who have access to these spaces are the kinds of people who never worked in a situation where they wondered if they could make rent 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 or, 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, that 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. ah. when i would show the wrong one all room. just don't the room. yes, to fill out this thing because the attitude an engagement equals the trail. when so many find themselves will depart. we choose to look for common ground in from germany. we're a long, steady find that the, the biomass of fly inside the weights of flying infects, fell by 76 percent in the last 26 years. so it's just becoming much, much less common, which means all the jobs that they do are not being done anymore. and that,

that is the real danger and that's what's going to impact on the the, the, the german politicians are split over whether vaccinated people should have more freedom down says news strict are and probably room for them to be imposed. forcing on vaccinated arrival to enter by plane train, and car enough to undertake mother to get off to coming up. the story today as rushed enough lead to celebrate 3rd 10 limpid gold a week into the game. the team's growing success catches the attention of the western media, which is increasingly questioning their rights to be their touches of chemical waste contaminated soil until that emissions are green.