Ruha Benjamin presents Race After Technology: Abolitionist Tools for the New Jim Code. Princeton Professor Ruha Benjamin discusses the relationship between machine bias and systemic racism, analyzing specific cases of “discr... Read more

A short video explainer on YouTube's algorithm, created in partnership with PBS's KQED Above the Noise series. Read on KQED

Why should you care about the restaurant industry? Data & Society Fellow Veronica Avila explores the consequences of this “alarmingly low-wage industry," its roots in slavery and servitude, and how some employers are using ... Read more

How does an algorithm know what it knows? Data & Society Fellow Stephanie Dinkins explores what it means to craft AI developed from small and community-focused data. Dinkins’ project, “Not The Only One,” wmodels differen... Read more

A short video explainer on the threats posed by deepfakes, created in collaboration with PBS's KQED Above the Noise. Read on KQED

Mary L. Gray's talk is based on her latest book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass, a collaboration with computer scientist Siddharth Suri. Ghost Work is a necessary and revelatory exp... Read more

Mike Ananny and Tarleton Gillespie join Kate Klonick for a conversation about the underlying decisions that impact the public's access to media systems and internet platforms.   In Networked Press Freedom: Creati... Read more

Journalist Sarah Kessler discusses her new book Gigged: The End of the Job and the Future of Work. Kessler shares her analysis of the perils and promises of the platform gig economy in conversation with Data & Society's Ale... Read more

Data & Society Fellow Jeanna Matthews speaks about algorithmic accountability and transparency within the context of the criminal justice system. Important decisions in our society are being made evermore frequently by o... Read more

In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.     Data discrimination... Read more