This talk is part of the NLP Seminar Series.

Alignment and Interpretability - How We Might Get It Right

Been Kim, Google DeepMind
Date: 11:00am - 12:00pm, Feb 8th 2024
Venue: Room 287, Gates Computer Science Building

Abstract

TBD

Bio

Been Kim is a senior staff research scientist at Google Brain. Her research focuses on helping humans to communicate with complex machine learning models: 1) building tools to aid human's collaboration with machines (and detect when those tools fail) 2) study machines' general nature and 3) leveraging machines' knowledge to benefit humans. She gave a talk at the G20 meeting in Argentina in 2019 and a keynote at ICLR 2022 and ECML 2020. Her work TCAV received UNESCO Netexplo award, was featured at Google I/O 19'. Her work is in a chapter of Brian Christian's book on "The Alignment Problem". She is the General chair at ICLR2024, was a Senior Program Chair at ICLR 2023. She has been a senior area chair at NeurIPS, ICML, ICLR, AISTATS and others for the past few years. She is a steering committee member of FAccT conference and SATML. She received her PhD. from MIT.