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 · 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 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.
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.
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.