Resources

Lectures and talks on Machine Learning for Social Justice

• Lester Mackey's talk at ICML 2020: "Doing some good with machine learning"

• Timnit Gebru's TEDxCollegePark talk: "How to stop Artificial Intelligence from Marginalizing Communities"

• Ruha Benjamin's TEDxBaltimore talk: "From park bench to lab bench: What kind of future are we designing?"

• Joy Buolamwini's TED talk: "How I'm fighting bias in algorithms."

• Shakir Mohamed's AI4Good talk: "Imaginations for Good; Missions for Change."

Articles, Threads, and Organizations on ML for Social Justice

• Lily Hu's article: "Direct effects" "illuminates serious problems with causal inference on racial discrimination, the trouble with "direct effects of race", and the harm in reducing substantive normative debate to purely statistical routine." -- Moritz Hardt

• Joy Buolamwini takes on Big Tech (FastCompany)

• The 1619 Project (NYT)

• Research-based solutions to stop police violence (Twitter)

• Mechanism Design for Social Good

• Towards ethical, transparent, and fair AI/ML: A critical reading list (slightly outdated, but very thorough)

Books that discuss racism, social justice, and AI

• Race After Technology, Ruha Benjamin.

• On the Books: Jim Crow and Algorithms of Resistance.

• Data Feminism, Catherine D'Ignazio & Lauren F. Kline.

• Just Mercy, Bryan Stevenson.

• How to be an Anti-Racist, Ibram X. Kendi.

• Killing the Black Body, Dorthy Roberts.

• Caste, Isabel Wilkerson.