A conversation with experts on the emerging regulations in the EU, US, and Canada, and asks how impact assessment practices can effectively account for the harms caused by algorithmic systems. Read more

Deb Raji and Arthur Gwagwa discuss AI and automation across different geopolitical contexts. Read more

A new podcast series from Data & Society and Public Books that explores the past, present, and future of data. Read more

David Robinson discusses an example of an effective application of an algorithm in healthcare. Read more

Michele Gilman and Meredith Broussard on everything poverty lawyers need to know about tech, law, and social justice. Read more

Sasha Costanza-Chock re-imagines how design led by marginalized communities can become a tool to help dismantle structural inequality, advance collective liberation, & support ecological survival. 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

Data & Society Fellow Ravi Shroff studies the development and implementation of predictive models for decision making in city and state government. This talk covers Shroff’s research on improving decision making within poli... Read more

What does it mean to talk about fairness within the context of machine learning algorithms, and how do we decide what is fair? Suchana Seth speaks about different definitions of fairness in this lightning talk.   ... Read more

D&S advisor Claudia Perlich discusses modeling, transparency, and machine learning in a new episode of the Partially Derivative podcast. “One pitfall I see is that it’s easy from a social science perspective to condemn all... Read on Data & Society