Data Science/Computational Social Science Seminar: William Wang

Name: Data Science/Computational Social Science Seminar: William Wang
Start: 2022-03-31T12:00:00
End: 2022-03-31T13:00:00
Location: Online

Location: Online

Thursday, Mar 31, 2022 Noon - 1:00 p.m.

Responsible AI: Challenges and Opportunities

Abstract:
Artificial intelligence (AI) is a top national priority of the United States, and it promises to drive the next economic growth of our world. As AI and machine learning technologies continue to shape our future, it is critical that we understand the opportunities ahead of us, and avoid the perils. William Wang will describe the key recent advances in responsible artificial intelligence and outline the new challenges for building human-centered AI technologies, focusing on issues of fairness, bias, transparency and energy efficiency of AI algorithms.

Speaker bio:

William Wang is the co-director of UC Santa Barbara's Natural Language Processing Group and Center for Responsible Machine Learning. He is the Duncan and Suzanne Mellichamp Chair in Artificial Intelligence and Designs, and an associate professor in the Department of Computer Science at the University of California, Santa Barbara. He received his PhD from the School of Computer Science, Carnegie Mellon University. He has broad interests in artificial intelligence, including statistical relational learning, information extraction, computational social science, dialog and generation, and vision. He has published more than 100 papers at leading NLP/AI/ML conferences and journals, and received best paper awards (or nominations) at ASRU 2013, CIKM 2013, EMNLP 2015 and CVPR 2019, a DARPA Young Faculty Award (Class of 2018), an IEEE AI's 10 to Watch Award (Class of 2020), an NSF CAREER Award (2021), two Google Faculty Research Awards (2018, 2019), three IBM Faculty Awards (2017-2019), two Facebook Research Awards (2018, 2019), an Amazon AWS Machine Learning Research Award, a JP Morgan Chase Faculty Research Award, an Adobe Research Award in 2018, and the Richard King Mellon Presidential Fellowship in 2011. He frequently serves as an area chair or senior area chair for NAACL, ACL, EMNLP and AAAI. He is an elected member of the IEEE Speech and Language Processing Technical Committee (2021-2023) and a member of ACM Future of Computing Academy. In addition to research, William enjoys writing scientific articles that impact the broader online community. His work and opinions appear at major tech media outlets such as Wired, VICE, Scientific American, Fortune, Fast Company, NASDAQ, The Next Web, Law.com and Mental Floss.