Fireside Chat with Emily Denton

Emily Denton is a Research Scientist on Google’s Ethical AI team, studying the societal impacts of machine learning and AI technology. Emily's recent research centers on critically examining the norms, values, and work practices that structure the development and use of machine learning datasets. Prior to joining Google, Emily received her PhD 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.

Aerin Kim is the Engineering Manager at Scale AI, turning raw data into high-quality training data using machine learning. She is fascinated by the science aspect of training data, the one and only input of deep learning that determines the performance of the model. Prior to Scale, Aerin was a Senior Research Software Engineer at Microsoft where she worked on question answering, semantic parsing and training data generation for AI applications. Before joining Microsoft, Aerin received her Masters degree in Operations Research from the Fu Foundation School of Engineering and Applied Science at Columbia University.