Ruha Benjamin
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.
Voices
Who to read in each topic
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.
Who is harmed, who is excluded, and whose dignity is diminished in outputs and decisions.What is known about people, who knows it, and what that knowledge is used for.Shared facts, persuasion, elections, and the conversations a public needs.Fraud, cybercrime, and the weaponization of capable systems.What happens between a person and a system: overreliance, loneliness, lost judgement.Care, clinics, and the people who depend on systems they did not choose.Work, wages, skill, and the meaning of contributing.What is learned, what is lost, and who gets to know.Who can use these systems, who is shut out, and who captures the gains.Language, culture, meaning, and the texture of a shared life.
Safiya Umoja Noble
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.
Sherry Turkle
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.
Abeba Birhane
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.
Emily M. Bender
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.'