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Fireside Chat with Emily Denton

Posted Jun 21
# Fireside Chat
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SPEAKERS
Emily Denton
Emily Denton
Emily Denton
Research Scientist at Google

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.

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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.

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Aerin Kim
Aerin Kim
Aerin Kim
Engineering Manager at Scale AI

Aerin Kim is the Engineering Manager at Scale AI, turning raw data into high-quality training data using machine learning powered pre-labeling. 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 machine reading comprehension, 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.

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Aerin Kim is the Engineering Manager at Scale AI, turning raw data into high-quality training data using machine learning powered pre-labeling. 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 machine reading comprehension, 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.

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SUMMARY

In this tech talk, held in conjunction with NeurIPS, Aerin Kim, Engineering Manager of Scale AI’s ML Team, is joined by Emily Denton of Google’s Ethical AI team for a fireside chat. Aerin and Emily will discuss the role of subjectivity and interpretation in data annotation and take your questions.

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