Building Inclusive AI for 400 Million Users at Pinterest | TransformX 2022
Pinterest’s team knows that people want to feel included. When platforms lack representation, it tells people that the way someone may look or where they come from isn't the ‘norm.’ It’s more important than ever before to design inclusive systems that remove historical biases. Nadia Fawaz is the senior staff applied research scientist and technical lead of inclusive AI at Pinterest, which hosts over 400 million users who speak over 35 languages across 8 billion boards. In this keynote, Fawaz will explain how ML learns implicit bias and algorithmic fairness, how to design inclusive systems with cross-functional teams, how Pinterest learned from errors and made its models also learn from errors, and how Pinterest has built inclusive features, especially regarding skin tone and hair patterns, to create a more engaging platform. Fawaz will discuss how it is possible to change technology with intent. Fawaz’ research and engineering interests include machine learning for personalization, AI fairness and data privacy; her work aims at bridging theory and practice. Before joining Pinterest, she was a Staff Software Engineer in Machine Learning at LinkedIn, a Principal Research Scientist at Technicolor Research lab, and a Postdoctoral Researcher at the Massachusetts Institute of Technology’s Research Laboratory of Electronics.
👉 Check out more here: https://scl.ai/3eOWk4L
Watch video Building Inclusive AI for 400 Million Users at Pinterest | TransformX 2022 online without registration, duration hours minute second in high quality. This video was added by user Scale AI 24 October 2022, don't forget to share it with your friends and acquaintances, it has been viewed on our site 195 once and liked it 5 people.