CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure
Emily Denton (they/them) is a Senior Research Scientist at Google, studying the societal impacts of artificial intelligence (AI) technology and the conditions of AI development. Prior to joining Google, Denton received their Ph.D. in machine learning from the Courant Institute of Mathematical Sciences at New York University, focusing on unsupervised learning and generative modeling of images and video.
Though trained formally as a computer scientist, Denton draws ideas and methods from multiple disciplines and is drawn towards highly interdisciplinary collaborations, in order to examine AI systems from a sociotechnical perspective. Their recent research centers on a critical examination of the histories of datasets — and the norms, values, and work practices that structure their development and use — that make up the underlying infrastructure of AI research and development.
Denton is queer and nonbinary and uses they/them pronouns. They are also a circus aerialist, rock climber, and cat parent of two.