Find people and organizations whose work explores AI concerns.
Voices
Not a ranking. People and groups whose public work helps you go deeper. Save a piece to review later, or open it in a new tab.
Founder · Algorithmic Justice League
Showed that commercial face analysis failed more often on darker-skinned women, and built a public practice of auditing systems that claim to see us.
Niccolò Caranti · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Founder · Distributed AI Research Institute
Named the labour, environmental, and stereotyping costs of large language models, and built an independent lab after leaving a major lab.
Kimberly White / Getty Images for TechCrunch · CC BY 2.0. Displayed in a circular crop; the photo retains its stated license.
Professor of computer science · UC Berkeley · CHAI
Argues that the standard model of AI, optimizing a fixed objective, is the wrong shape, and proposes machines that remain uncertain about human preference.
Bengt Oberger · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Research professor · USC Annenberg
Maps AI as an extractive industry: minerals, energy, labour, and classification. Atlas of AI is the book most groups can start with.
Cmichel67 · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Climate and AI researcher · Hugging Face
Measures the energy and carbon cost of training and serving models, so environmental claims can be compared rather than asserted.
NC698462 · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Co-founder · Center for Humane Technology
Named how attention systems shape minds at scale, then turned the same lens on generative models in The AI Dilemma.
Photo by Stephen McCarthy/Collision via Sportsfile · CC BY 2.0. Displayed in a circular crop; the photo retains its stated license.
Writer and researcher · Formerly Stanford Internet Observatory
Traces how influence operations, rumor, and now generative media move through networks. Useful when a group wants facts about manipulation, not vibes.
Patrick Farrell / Knight Foundation · CC BY-SA 2.0. Displayed in a circular crop; the photo retains its stated license.
Professor of computer science · Princeton
Cuts through AI marketing. AI Snake Oil is a calm test of which claims are real, which are premature, and which cannot work as sold.
Robert Scoble · CC BY 2.0. Displayed in a circular crop; the photo retains its stated license.
Security technologist · Harvard Kennedy School
Writes about security as a social problem. A reliable first read when a group is mixing fear of hackers with fear of the model itself.
Rama · CC BY-SA 2.0 FR. Displayed in a circular crop; the photo retains its stated license.
Scientific director · Mila · LawZero
A founder of modern deep learning who now spends his public voice on catastrophic risk, agentic systems, and international scientific advice.
Xuthoria · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
President · Signal
Connects concentration of compute, surveillance business models, and labour. A voice for groups asking who owns the stack.
Martin Kraft · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Professor of African American studies · Princeton
Race After Technology is the book that lets a group see how ranking and scoring repeat older patterns of who is trusted.
Data & Society Research Institute · CC BY 3.0. Displayed in a circular crop; the photo retains its stated license.
Professor · UCLA
Algorithms of Oppression showed how search rankings can encode harm. A starting point for culture, identity, and what a system 'knows' about people.
Jennifer 8. Lee · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Mathematician and writer
Weapons of Math Destruction is still the plainest account of scoring systems that punish the people least able to contest them.
GRuban · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Cardiologist and writer · Scripps Research
Follows medical AI as a clinician who still holds the patient in view. Useful for groups in health systems who need neither hype nor refusal.
Cmichel67 · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Guidance on large multimodal models
Institutional guidance for health workers and ministries on generative models in care, written to be used rather than admired.
Economist · MIT
Power and Progress asks whether a technical gain becomes a shared one. A good first book for labour, inequality, and who captures the surplus.
John Sears · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Writer and teacher
Automating Inequality follows ranking systems in welfare, homelessness, and child protection. Read this before a civic group talks about 'efficiency.'
Sebastiaan ter Burg from Utrecht, The Netherlands · CC BY 2.0. Displayed in a circular crop; the photo retains its stated license.
Scientist and writer
A persistent public critic of overclaiming. Useful when a group needs permission to ask 'does this actually work?'
Piaras Ó Mídheach / Web Summit / Sportsfile · CC BY 2.0. Displayed in a circular crop; the photo retains its stated license.
Research scientist · Anthropic
Shows, with working attacks, what models leak and how they fail. A technical voice that still reads in a mixed group if you pick one paper.
National Institute of Standards and Technology · Public domain (US government). Displayed in a circular crop; the photo retains its stated license.
Researcher · UC Berkeley
Wrote the case for closing the AI accountability gap: documentation, audit, and the right to know what a system was tested on.
Rajiinio · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Professor · MIT
Reclaiming Conversation is the book for groups, especially with youth, who want to talk about companionship, attention, and what a machine cannot hold.
jeanbaptisteparis · CC BY-SA 2.0. Displayed in a circular crop; the photo retains its stated license.
Director, Teaching Systems Lab · MIT
Failure to Disrupt is a sober history of education technology. A good companion when a school group is being sold a tutor.
Voluntary framework · U.S. National Institute of Standards and Technology
The document many institutions already have to map against. Not a voice in the personal sense, but the shared language of governance conversations.
Humanitarian policy on AI
Writes from international humanitarian law, not from product. Essential when a conversation touches conflict, weapons, or civilian protection.
Former deputy director, White House OSTP · Institute for Advanced Study
Shepherded the Blueprint for an AI Bill of Rights. A civic starting point for rights language without requiring a legal training.
Executive Office of the President of the United States · Public domain (US government). Displayed in a circular crop; the photo retains its stated license.
Scientist
A founder of deep learning who left a major lab to speak in public about loss of control. One interview is enough for a first gathering on long-term risk.
Cmichel67 · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Research and advocacy
Holds open letters, policy work, and explainers on catastrophic risk. Use alongside, not instead of, voices from justice and labour.
Cognitive scientist · Trinity College Dublin · Mozilla
Writes about relational ethics and the colonial patterns that hide in datasets. A voice for culture, identity, and who is made into data.
Xuthoria · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Professor of linguistics · University of Washington
Insists that language models are not minds. A clarifying voice when a group is mixing 'the model said' with 'a person claims.'
King of Hearts · CC BY-SA 4.0. Displayed in a circular crop; the photo retains its stated license.
Professor of law · Boston University
Privacy's Blueprint argues that design, not only notice, is where privacy lives. Useful for groups writing a policy rather than a feeling.
Professor · Cornell Tech
Contextual integrity: privacy is not secrecy, it is appropriate flow. The idea that lets a mixed group talk about data without collapsing into 'share nothing.'