Emily Black

Assistant Professor – eb1850(at) nyu.edu – Google Scholar, Github

Emily Black is an Assistant Professor of Computer Science and Engineering at New York University. Her research concerns fairness and accountability in AI systems. In other words, she creates methods to determine whether AI systems will cause harm to the public, studies the equity impacts of AI systems in high-stakes settings, such as the government, and connects her own and related research to the legal and policy worlds to help better regulate AI systems. Professor Black’s work is interdisciplinary as she aims to prevent harm from AI systems used in a variety of contexts: she works with lawyers, accountants, civil society advocates, and others to try to prevent algorithmic harm in practice.

Emily received her PhD in Computer Science in 2022 from Carnegie Mellon University and her BAs in Computer Science, Math, and English in 2017 from Wesleyan University.

Recruiting Students

I’m looking to recruit PhD students for my lab for the upcoming academic year (2025-2026). If you’d like to work with me, please apply to the NYU Center for Data Science PhD and/or NYU Tandon Computer Science and Engineering PhD program and mention my name in the application! If you would like to talk about research directions, please feel free to reach out.

Selected publications