This event is POSTPONED and will be rescheduled for Fall 2023. A new date will be announced soon.

What We See and What We Value: AI With a Human Perspective

Dr. Fei-Fei Li
Sequoia Professor in the Computer Science Department at Stanford University and Co-Director of Stanford's Human-Centered AI Institute

CCSS Distinguished Lecture in the Social Sciences
Co-sponsored by the Bowers College of Computing and Information Science and the Center for Data Science for Enterprise & Society Data Science Distinguished Lecture Series.

In this talk, Dr. Li will present her research with students and collaborators to develop intelligent visual machines using machine learning and deep learning methods. The talk will focus on how neuroscience and cognitive science inspired the development of algorithms that enabled computers to see what humans see and how we can develop computer algorithms and applications to allow computers to see what humans don’t see. Dr. Li will also discuss social and ethical considerations about what we do not want to see or do not want to be seen, and corresponding work on privacy computing in computer vision, as well as the importance of addressing data bias in vision algorithms. She will conclude by discussing her current work in smart cameras and robots in healthcare as well as household robots as examples of AI’s potential to augment human capabilities.

Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University and Co-Director of Stanford's Human-Centered AI Institute. She served as the Director of Stanford's AI Lab from 2013 to 2018. From January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors and her Ph.D. degree in electrical engineering from California Institute of Technology (Caltech) in 2005.

Dr. Li's current research interests include cognitively inspired AI, machine learning, deep learning, computer vision, and AI+healthcare, especially ambient intelligent systems for healthcare delivery. She has also worked on cognitive and computational neuroscience. Dr. Li has published over 200 scientific articles in top-tier journals and conferences and is the inventor of ImageNet and ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. A leading national voice for advocating diversity in STEM and AI, she is co-founder and chairperson of the national non-profit AI4ALL, aimed at increasing inclusion and diversity in AI education. Dr. Li is an elected Member of the National Academy of Engineering (NAE), the National Academy of Medicine (NAM) and American Academy of Arts and Sciences (AAAS).

For more on Dr. Li, visit her website here.

This popular event, open to the Ithaca community and the campus audience, generally draws an overflow audience and is followed by a reception.