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#diplab

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“Despite Nate acquiring some AI technology and hiring data scientists, its app’s actual automation rate was effectively 0%…”

Another "AI" company faces fraud charges, as Filipino workers powered its app. has been documenting cases like this since 2027. Not just small startups cutting corners: Google, Amazon have been caught doing it. Not just a few rotten apples, either. This 💩 is systematic.

techcrunch.com/2025/04/10/fint

TechCrunch · Fintech founder charged with fraud after 'AI' shopping app found to be powered by humans in the Philippines | TechCrunchAlbert Saniger, the founder and former CEO of Nate, an AI shopping app that promised a “universal” checkout experience, was charged with defrauding

As a general rule, I have a critical view of organized religion. Yet, this AI declaration by the friars of the Sacred Convent of St. Francis in Assisi proved unexpectedly aligned with our research priorities at , particularly in its explicit condemnation of both data worker exploitation and environmental destruction.

For some time now, has supported and worked with African content moderators fired by Kenyan platform Samasource. There is some good news: the country's Court of Appeal ruled that Meta can be sued over these layoffs in Kenyan courts. thecitizen.co.tz/tanzania/news

The Citizen · Court of Appeal rules Facebook owner can be sued in Kenyan courts over layoffs by contractorBy Nation. Africa

Dans ce podcast de l'Atelier des Médias - @RFI, je vous raconte nos enquêtes à Madagascar, où des travailleurs entraînent l'IA via des plateformes accessibles depuis des cybercafés, des chambres à coucher, des maisons particulières, des entreprises… rfi.fr/fr/podcasts/atelier-des

RFI · Atelier des médias - À Madagascar, des petites mains entraînent les intelligences artificiellesBy Steven Jambot

✌️So happy to see Chiara Belletti defend her PhD at @TelecomParis | Institut Polytechnique de Paris. She studied information asymmetries on labor platforms Microworkers & Airbnb. Takingaways: reputation's overrated, quality control costs a lot, platforms can limit info asymmetries by paying workers more .💪👩‍🎓

If you want to impress your friends by mentioning that human data workers train algorithms, simply read the press. But if you wanna stand out by explaining how China plays a key role in the data labor market, you need to sign up for the seminar on Wednesday, April 24, 2024. Here's the link👉
diplab.eu/tianling-yang-and-be

Do you feel that you know a lot about AI trainers in Kenya, Venezuela, India, even Madagascar... but not China? Well, has concocted for you a webinar titled “Turning Data into Assets: Labor, Infrastructure, and Policy in China’s Emerging Data Ecosystems” on April 24, 2PM CET, with our valiant friends and researchers extraordinaire Tianling Yang & Ben Zhang. Register here👉 diplab.eu/tianling-yang-and-be

Invest 50 minutes of your life and watch this seminar by ILO economists Uma Rani and Rishabh Dhir. Based on three studies on invisible labor and deceptive technology, they ask: Is this the kind of AI development we want? youtu.be/QtFrk16f-IE?feature=s (and if you want free access to the DiPLab resources referenced and discussed in the seminar, find them here👉 diplab.eu/video-ilo-seminar-ci)

🚨In today's @libe, I speak about an important aspect of the research we've conducted with over the last few years: what are the career prospects for AI workers? Jobs in AI are often beacons of hope for career advancement, attracting techies and non-techies alike. However, these highly-educated workers get low-paying jobs. With AI, task fragmentation increases, resulting in a global race to the bottom in wages and working conditions. liberation.fr/societe/petites-