Bryan Casey

Fellow, CodeX

Bryan Casey is a CodeX Fellow and student at Stanford Law School whose research covers a broad range of issues at the intersection of law and emerging AI applications. His scholarship has appeared in Northwestern University Law Review, Stanford Law Review Online, and University of Massachusetts Law Review, and his articles have featured in media outlets including Wired Magazine, Futurism, The Journal of Robotics Law, and The Stanford Lawyer. His latest work focuses on the role of corporate profit maximization and liability minimization in the design and implementation of high-stakes decision-making algorithms within AI systems.

Related Sessions

Fairness, Accountability, and Transparency of Algorithms Location: Date: April 5, 2018 Time: 10:00 am - 11:00 am View session

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