The boundary between labour and personal resource has disappeared: the human body becomes raw material.
AI and the Dangerous Fiction of ‘All Lawful Use’
Dunstan Allison-Hope and Iain Levine argue that human rights commitments are essential for all companies selling their products to governments worldwide.
James Muldoon, Mark Graham and Callum Cant: ‘AI feeds off the work of human beings’
The Fairwork trio talk about their new book on the ‘extraction machine’, exposing the repetitive labour, often in terrible conditions, that big tech is using to create artificial intelligence
In China, people are renting out their faces to AI
New platforms are paying people to license their likeness for AI-generated dramas and ads, creating a new marketplace for biometric identity.
Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI
Research Gold's team of human methodologists are either AI generated or using the identity of real people without their permission
Preventing AI extractivism: the case for braiding indigenous data justice with ABS for stronger AI data governance
Artificial-intelligence systems are rapidly reproducing colonial extractivism by harvesting Indigenous linguistic, biometric, geospatial, and ecological data without consent, compensation, or accountability. Biotechnology offers a blueprint for curbing such practices: the Convention on Biological Diversity and its Nagoya Protocol obligate users of genetic resources to obtain Prior Informed Consent, negotiate Mutually Agreed Terms, and share benefits fairly. No comparable framework restrains the digital appropriation that underpins many AI products. Consequently, corporations and states monetize Indigenous knowledge systems under the banners of “open data” and “scientific neutrality,” eroding rights affirmed in the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP). In response to this rising risk of AI extractivism, we make the case for a binding, sui generis ABS protocol for AI data governance. First, through a series of case studies we demonstrate that AI extraction mirrors the colonial and biopiracy controversies that originally triggered Access‑and‑Benefit‑Sharing (ABS) rules in biotechnology. Second, we translate those rules into a digital register by braiding two Indigenous data‑governance frameworks—OCAP® (Ownership, Control, Access, Possession) and the CARE Principles (Collective Benefit, Authority to Control, Responsibility, Ethics)—inside the ABS triad of consent, terms, and benefit‑sharing. The resulting model grounds technical safeguards in relational accountability and Indigenous legal orders. Such an instrument would compel transparent negotiations with Indigenous rights‑holders, assign enforceable authority over data across the AI lifecycle, and require equitable redistribution of the economic value generated by models trained on Indigenous data. Embedding ABS principles into AI governance offers a decolonial pathway that centers Indigenous epistemologies, promotes ethical foresight, and transforms AI from a vehicle of digital colonialism into a space for algorithmic justice.
Unlawful by design: Exposing the human rights costs of generative AI - Amnesty International
This briefing examines how standalone generative AI systems, based on unlawful web scraping, are in conflict with international human rights law (IHRL) and standards through their design, development and deployment. While these technologies promise sophisticated automation and efficiency, they rely on data collection and model training practices that abuse privacy rights, enable discrimination, and threaten […]
Feeding the Machine: The Hidden Human Labour Powering AI
Really, you made this without AI? Prove it
The quest to find the ‘Fair Trade’ logo for human-made content.
AI Exec: We May Have Pulled Off “The Largest Theft of Labor in Human History”
Documents from our lawsuit reveal how tech leaders talk when they think no one is listening.
George Clooney, Tom Hanks, and Meryl Streep back new ‘Human Consent Standard’ for AI licensing
People can tell AI to pay up to use their likenesses.
AI company’s breached biometrics, ID document images make deepfake fraud easier | Biometric Update
Mercor, an AI company valued at $10B, has fallen victim of a major data breach which appears to include ID documents along with user face and voice biometrics.
Socialized Proof of Work — Open Indie
There’s an increasing obsession with “humanness” these days: Humanness in the age of AI Worldcoin: a solution in search of its problem (...
Humans Are Reading Copilot Prompts — And They're Horrified
Human contractors are reviewing Copilot users’ prompts and uploaded images, according to internal documents obtained by 404 Media. The contractors are also bombarded with users’ requests for sexual AI images.
OII | The Hidden Human Cost of AI: In conversation with Professor Mark Graham
Professor Mark Graham highlights the hidden human cost of AI and shares observations from his latest book 'Feeding the Machine: the Hidden Human Labour Powering AI'.
We must not grant AI agents legal personhood
What kind of sanctions could keep a non-human corporation in check?
