Rashida Richardson is an Assistant Professor of Law and Political Science at Northeastern, where she specializes in race, emerging technologies and the law, and she is a Senior Fellow in the Digital Innovation and Democracy Initiative at the German Marshall Fund. Rashida researches the social and civil rights implications of data driven technologies, including artificial intelligence, and develops policy interventions and regulatory strategies regarding data driven technologies, government surveillance, racial discrimination, and the technology sector. Rashida has previously worked on a range of civil rights issues at the AI Now Institute, the American Civil Liberties Union of New York (NYCLU), and the Center for HIV Law and Policy. Rashida currently serves on the Board of Directors of Lacuna Technologies, Board of Trustees of Wesleyan University, the Advisory Board of the Civil Rights and Restorative Justice Project, the Board of Directors of the College & Community Fellowship, Advisory Council of Foxglove, Advisory Board for Reveal from the Center for Investigative Reporting, Advisory Board for the Electronic Privacy Information Center, and she is an affiliate and Advisory Board member of the Center for Critical Race + Digital Studies. She received her BA with honors in the College of Social Studies at Wesleyan University and her JD from Northeastern University School of Law.
- Richardson, R., & Kak, A. (2020). It’s time for a reckoning about this foundational piece of police technology. Slate.
- Kak, A., & Richardson, R. (2020). Artificial intelligence policies must focus on impact and accountability. Centre for International Governance Innovation.
- Richardson, R. (2019). Win the war against algorithms: Automated Decision Systems are taking over far too much of government. Daily News.
- Richardson, R. (Ed.) (2019). Confronting black boxes: A shadow report of the New York City automated decision system task force. New York: AI Now Institute.
- Richardson, R., Schultz, J. M., & Southerland, V. M. (2019). Litigating algorithms 2019 US report: New challenges to government use of algorithmic decision systems. New York: AI Now Institute.
- Richardson, R., Schultz, J. M., & Crawford, K. (2019). Dirty data, bad predictions: How civil rights violations impact police data, predictive policing systems, and justice. New York University Law Review.
- Koene, A., Clifton, C., Hatada, Y., Webb, H., Patel, M., Machado, C., LaViolette, J., Richardson, R., & Reisman, D. (2019). A governance framework for algorithmic accountability and transparency. European Parliamentary Research Service.
- Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., West, S. M., Richardson, R., Schultz, J., & Schwartz, O. (2018). AI Now report 2018. New York: AI Now.
- AI Now. (2018). Algorithmic accountability policy toolkit. New York: AI Now Institute.