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ImageNets of "x": ImageNet's Infrastructural Impact
Remi Denton · Alex Hanna

Mon Dec 13 02:30 PM -- 03:00 PM (PST) @
in ImageNet: Past, Present, and Future »

Author Information

Remi Denton (Google)
Remi Denton

Remi Denton (they/them) is a Staff Research Scientist at Google, within the Technology, AI, Society, and Culture team, where they study the sociocultural impacts of AI technologies and conditions of AI development. Prior to joining Google, Remi received their PhD in Computer Science from the Courant Institute of Mathematical Sciences at New York University, where they focused on unsupervised learning and generative modeling of images and video. Prior to that, they received their BSc in Computer Science and Cognitive Science at the University of Toronto. Though trained formally as a computer scientist, Remi draws ideas and methods from multiple disciplines and is drawn towards highly interdisciplinary collaborations, in order to examine AI systems from a sociotechnical perspective. Remi’s recent research centers on emerging text- and image-based generative AI, with a focus on data considerations and representational harms. Remi published under the name "Emily Denton".

Alex Hanna (Google)

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