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Content type: Explainer
Behind every machine is a human person who makes the cogs in that machine turn - there's the developer who builds (codes) the machine, the human evaluators who assess the basic machine's performance, even the people who build the physical parts for the machine. In the case of large language models (LLMs) powering your AI systems, this 'human person' is the invisible data labellers from all over the world who are manually annotating datasets that train the machine to recognise what is the colour…
Content type: Examples
Companies like the Australian data services company Appen are part of a vast, hidden industry of low-paid workers in some of the globe's cheapest labour markets who label images, video, and text to provide the datasets used to train the algorithms that power new bots. Appen, which has 1 million contributors, includes among its clients Amazon, Microsoft, Google, and Meta. According to Grand View Research, the global data collection and labelling market was valued at $2.22 billion in 2022 and is…
Content type: Examples
French data protection agency CNIL has fined Amazon's French warehouse management unit €32 million, or about 3% of its turnover, for its "excessively intrusive" surveillance of the performance of its thousands of staff. The system relied on data collected from the scanners warehouse staff use to process packages. CNIL said the surveillance placed workers under continuous pressure and forced them to justify absences, as the scanners timed inacctivity to the second and also penalised workers for…
Content type: Examples
An eight-country study of Amazon employees has found that 57% say the company's performance monitoring system damages their mental health, 51% (65.7% of drivers) say it's had a negative effect on their physical health, and 59% feel the monitoring is excessive. In addition, 58% say Amazon doesn't explain clearly how it uses the data it collects on workers. Injury rates at Amazon warehouses are above the industry average.https://uniglobalunion.org/news/globalsurvey23/Publication: UNI Global…
Content type: Examples
Workers in Amazon warehouses are tracked closely by a system that records every minute of "time off task" via the radio frequency handheld scanners workers use to track customer packages. Breaching strict time off task time limits can get an employee fired. Time off task includes bathroom breaks, talking to other Amazon employees, or going to the wrong floor of a warehouse: - managers may be required to ask offenders to account for each missing minute. https://www.vice.com/en/article/…
Content type: Examples
AI-powered cameras made by the startup Netradyne and used in Amazon's delivery vans incorrectly penalises drivers for events beyond their control or which do not constitute unsafe driving such as if they are cut off by another vehicle. The data collected by the cameras is sent to Amazon, which uses the information to evaluate drivers' performance by assigning them with a score for safe driving. https://www.vice.com/en/article/88npjv/amazons-ai-cameras-are-punishing-drivers-for-mistakes-…
Content type: Examples
Humans who review footage of warehouse workers flagged by Amazon’s AI computer vision system to check for employee errors - are themselves surveilled in detail to ensure they make punishing targets. The workers, who are paid as little as £212 a month to review thousands of images and videos per day, report physical problems, deteriorating eyesight, and cognitive exhaustion. https://www.thebureauinvestigates.com/stories/2022-11-21/the-eyes-of-amazon-a-hidden-workforce-driving-a-vast-…
Content type: Examples
Behind every powerful AI system are huge numbers of people labelling and clarifying data to train it, contracted by companies like Remotasks, a subsidiary of Silicon Valley-based data vendor Scale AI, whose customers include the US military and OpenAI. Often the workers, who are assigned tasks they don't understand for a purpose they don't know, are sworn to secrecy. Yet labelling is crucial; it can make the difference between a car stopping to spare the person walking a bike across the road or…
Content type: Examples
Technology companies that call themselves "AI first" rely on heavily surveilled gig workers who label data, deliver packages, moderate content, and perform gig work via platforms. Startups pressured by their venture capital funders even hire humans to pretend to be chatbots so they can claim to be "AI" companies. For these reasons, worker exploitation needs to be a central part of the discussion of the ethical development and deployment of AI systems.https://www.noemamag.com/the-exploited-labor…
Content type: Examples
A former Amazon warehouse worker writes that every day was "brutal" because of the "exploitative and dangerous" standards enforced by Amazon executives. Amazon's anxiety-inducing policies about bathroom use and low pay should be seen in context with fast food and retail workers, who frequently encounter violence on the job and many essential workers' struggle to afford the basic necessities of life. In response, workers are beginning to target investors as an important voice that can help…
Content type: Examples
An excerpt from the new book "Arriving Today: From Factory to Front Door—Why Everything Has Changed About How and What We Buy", describes in detail the tracking systems used in Amazon warehouses to ensure workers meet their managers' targets. The system is a mix of surveillance, measurement, psychology, targets, incentives, slogans, and proprietary technologies.https://www.wsj.com/articles/the-way-amazon-uses-tech-to-squeeze-performance-out-of-workers-deserves-its-own-name-bezosism-…
Content type: Examples
Documents filed with the US National Labor Relations Board show that Amazon issues warehouse workers with radio-frequency handheld scanners to track and record every minute of "time off task". The filing is part of a dispute at the State Island Amazon warehouse, where workers voted to unionise in 2022. Managers must ask the person with the most "time off task", which includes time spent in the bathroom, talking to other associates, and navigational errors, about their whereabouts for each "…
Content type: Examples
Amazon has begun issuing partner delivery companies with AI-enabled cameras to monitor and track drivers' behaviour on the road. The cameras add another layer of monitoring to existing requirements to run the smartphone app Mentor; drivers complain that the app's bugs lead to unfair disciplinary action against them; the app may also follow them into their homes. Drivers swap tips on gaming the app on Reddit.https://www.cnbc.com/2021/02/12/amazon-mentor-app-tracks-and-disciplines-delivery-…
Content type: Examples
Amazon delivery partner companies are ordering their drivers to turn off Amazon's Mentor monitoring app so they can take more risks in order to hit Amazon's delivery targets. Mentor, made by a company called eDriving, is a smartphone app Amazon uses to monitor drivers in Amazon-branded vans that tracks drivers' speed, braking, acceleration, and cornering; it also detect "phone distraction" and gives drivers a safe driving score. Amazon has pushed the liability for infractions onto the more than…
Content type: Examples
Numerous video clips from Amazon's in-van driver-facing surveillance cameras are appearing on Reddit in violence of Amazon's stated privacy policies and raising questions about drivers' privacy. The videos are clearly not being posted by drivers themselves, but come from inside Amazon delivery partners, though who is posting them is unknown. The cameras capture all aspects of drivers road behaviour; the company claims they protect road safety. Drivers say they do not have access to the videos.…
Content type: Examples
A 24-year-old man in Atlanta, Georgia is suing Amazon after being left with extensive brain and spinal cord injuries after an Amazon van crashed into his car. Amazon claims it isn't legally liable because the driver worked for the delivery company Harper Logistics LLC. However, the lawsuit seeks to prove that Amazon controls all aspects of deliveries from how many packages drivers are assigned to their continued employment and tracks drivers intensively, pressuring them to take risks in order…
Content type: News & Analysis
To add your voice to the letter below, which we'll be sending to gig economy companies like Uber, Deliveroo, Bolt, Amazon Flex, Just Eat, Free Now, and Ola, sign the Managed by Bots petition. (PETITION IS NOW CLOSED, SEE UBER'S RESPONSE TO OUR CAMPAIGN LETTER. SEE DELIVEROO'S RESPONSE.
Worker Info Exchange (WIE), the App Drivers and Couriers Union (ADCU), Privacy International (PI) and other civil society organisations* are today writing to you with urgent questions about the exploitation of…
Content type: Long Read
What if your boss was an algorithm? What would you do if your employer suddenly fired you or reduced your pay without telling you why? And without being willing to give you a reason when you ask for one?
This is not science fiction or some far-fetched reality. Millions of people worldwide are working in the gig economy sector for companies like Uber, Deliveroo, Bolt, Just Eat… And this could be the future of work for people working outside the gig economy, as surveillance technologies are…
Content type: Examples
A growing number of companies - for example, San Mateo start-up Camio and AI startup Actuate, which uses machine learning to identify objects and events in surveillance footage - are repositioning themselves as providers of AI software that can track workplace compliance with covid safety rules such as social distancing and wearing masks. Amazon developed its own social distancing tracking technology for internal use in its warehouses and other buildings, and is offering it as a free tool to…
Content type: Case Study
You have the right to decent standards and dignity at work, and the right to join a union to protect yourself and your rights. That might come as a shock to Amazon - who have been using Covid-19 as a reason to undermine those rights.
Chris Smalls, an organiser and now former Amazon warehouse assistant manager, led a walkout at a New York City facility and within days he’d been fired under a dubious pretext.
The walkout was to ensure workers’ safety - they were asking for the warehouse to be…
Content type: Examples
Amazon has spent $10 million to buy 1,500 cameras to take the temperature of workers from the Chinese firm Zhejiang Dahua Technology Company even though the US previously blacklisted Dahua because it was alleged to have helped China detain and monitor the Uighurs and other Muslim minorities.
The cameras work by comparing a person’s radiation with a separate infrared calibration device and uses face detection technology to make sure it is looking for heat in the right part of the subjects…
Content type: Examples
To speed up daily temperature checks, Amazon has installed thermal cameras to screen workers for coronavirus symptoms in its warehouses around the world. Cases of COVID-19 have been reported at more than 50 of the company's US warehouses. Thermal cameras will also replace thermometers at staff entrances to many of Amazon's Whole Foods stores. Workers have claimed it is almost impossible to socially distance inside the warehouses.
Source: https://www.bbc.co.uk/news/technology-52356177
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Content type: Examples
In December 2018 Walmart was granted a patent for a new listening system for capturing and analysing sounds in shopping facilities. The system would be able to compare rustling shopping bags and cash register beeps to detect theft, monitor employee interactions with customers, and even listen to what customers are saying about products. The company said it had no plans to deploy the system in its retail stores. However, the patent shows that, like the systems in use in Amazon's cashier-less Go…
Content type: Examples
In 2017, Uber began a programme experimenting with using psychology and social science insights to influence when, where, and how long its drivers work. Among other techniques, Uber auto-loaded the next fare to encourage the driver equivalent of binge TV-watching; reminded drivers when they're close to their earnings targets to keep them from logging off; and used game-style graphics and small-value awards to keep drivers at the wheel. The company also had male managers adopt female…