The growing movement for racial justice in the United States has illuminated ways the technologies and legal systems we use and rely upon are polluted by and further bias. Indeed, bias against non-male, non-white people is well-documented in artificial intelligence systems. This problem is not relegated to the technology industry or those most affected by systemic bias. For example, facial recognition technology remains largely unregulated. This is not due to a lack of necessity but a lack of understanding. While some cities around the country continue adopt facial recognition technologies, others, including most recently Boston, have instituted bans of the oft biased technology to better understand the systems and evaluate its risks and benefits before regulating it. This symposium will bring together scholars with expertise on issues of bias and discrimination in the contexts of law, computer science, public health, and political science in order to evaluate these issues from a cross-disciplinary perspective with a goal of fostering collaboration on articles for publication in an upcoming JOSTL issue.