A Poverty Lawyer’s Guide to Fighting Automated Decision-Making Harms on Low-Income Communities Read more

Kellie Owens and Alexis Walker list some concrete steps to enable anti-racist practices in medical research and practice. Read on Nature

This paper critically examines existing modes of participation in design practice and machine learning. 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

What does it mean to do “ethics” in the technology industry? We found four overlapping meanings. Read on Points

Faculty Fellow Michele Gilman explains how the use of AI in welfare fraud detection often ends up harming the most vulnerable. Read on The Conversation

Speculative fiction about the future of AI systems. Read on Points

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

How can we do less harm to communities of color with the technology we create? In their new paper Advancing Racial Literacy in Tech, Data & Society 2018-19 Fellows Jessie Daniels and Mutale Nkonde and 2017-18 Fellow Dara... Read more

The Algorithmic Accountability Act is a step forward, but there's still room for improvement. Postdoctoral Scholar Andrew Selbst and Margot Kaminski explain. "The bill is a meaningful first step in addressing the problems ... Read on The New York Times