Algorithmic Bias & Justice

Timnit Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Prior to that she was fired by Google in December 2020 for raising issues of discrimination in the workplace, where she was serving as co-lead of the Ethical AI research team.

"Dr. Joy Buolamwini is the founder of the Algorithmic Justice League, an award-winning researcher, and poet of code... She advises world leaders, policymakers, and executives on redressing algorithmic harms."

Dr. Noble's work "focuses on the internet and its impact on society. Her work is both sociological and interdisciplinary, marking the ways that digital media intersects with issues of race, gender, culture, power, and technology. She is regularly sought out for her expertise on issues of algorithmic discrimination and technology bias..."

Currently a doctoral candidate at the University of Washington, Cunningham's research "aims to advance responsible design practices that can lead to more inclusive, equitable, and sustainable language technology experiences for users of historically marginalized communities."

Detroit-based organization pursuing digital justice through community events, digital toolkits, and zines. DDJC offers community 'DiscoTech' (short for Discovering Technology) events. "DiscoTech events are a space to learn about the impact and possibilities of technology within our communities. We feature interactive, multimedia workshops designed to demystify, engage, and inform the community about issues of Internet use and ownership, and our communications rights on and offline."

This Tacoma-based organization is "Informed by the work of the Detroit Community Technology Project, BBR [Black Brilliance Research Project] trains teams to build internet infrastructure and public interest technology, conduct participatory action research, organize their communities, and fund their digital futures."

We are an interdisciplinary and globally distributed AI research institute rooted in the belief that AI is not inevitable, its harms are preventable, and when its production and deployment include diverse perspectives and deliberate processes it can be beneficial. Our research reflects our lived experiences and centers our communities.

The Algorithmic Justice League is an organization that combines art and research to illuminate the social implications and harms of artificial intelligence. AJL’s mission is to raise public awareness about the impacts of AI, equip advocates with resources to bolster campaigns, build the voice and choice of the most impacted communities, and galvanize researchers, policymakers, and industry practitioners to prevent AI harms. AJL is a fiscally sponsored project of Code for Science & Society.

A movement of activists, organizers, and scientists committed to the mission of using data to create concrete and measurable change in the lives of Black people. Through research, advocacy, and movement-building, we are working to support the vital work of grassroots racial justice organizations to challenge discriminatory uses of data and algorithms across systems. With our national network of over 20,000 scientists and activists, we are building a future in which data and technology are forces for good, rather than the instruments of oppression, in Black communities.