Public Interest Tech & Algorithmic Bias — with Di Luong

Di Luong is a researcher, technologist and ethnographer who has been exploring issues around public interest technology, social justice and algorithmic bias. On this episode we discuss risks of algorithmic bias, how technology intersects with social justice, and the larger role of public interest technology.

Links

• Di’s website: diluong.net
• Follow Di on Twitter: @fourthlettr
• Movement Alliance Project teamed up with MediaJustice to create Mapping Pretrial Injustice. This website serves as a tool for organizers fighting for pretrial decarceration in their communities, particularly around the use of these algorithms. 
• Book recommendation: Design Justice: Community-Led Practices to Build the Worlds We Need (MIT Press) is an exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival, written by Sasha Constanza-Chock, who is Associate Professor of Civic Media at MIT.
• Book recommendation: In Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (MacMillan), Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.
• AI Now Institute
• Rashida Richardson’s profile at the Berkman-Klein Center