commentary
Bans on Facial Recognition Are Naive. Hold Law Enforcement Accountable for Its Abuse
Jun 17, 2020
Osonde A. Osoba
Codirector, Center for Scalable Computing and Analysis; Senior Information Scientist; Professor, Pardee RAND Graduate School
Off Site Office
Education
Ph.D. & M.S. in electrical engineering, University of Southern California; B.S. in electrical and computer engineering, University of Rochester
Media Resources
This researcher is available for interviews.
To arrange an interview, contact the RAND Office of Media Relations at (310) 451-6913, or email media@rand.org.
More ExpertsOverview
Osonde Osoba (oh-shOwn-day aw-shAw-bah) is a senior information scientist at the RAND Corporation and a professor at the Pardee RAND Graduate School. Osoba's research work weaves together two strands: the principled application of Artificial Intelligence/Machine Learning (AI/ML) to diverse facets of policy research & the examination of implications of data-driven decision systems. Recurring themes in his work include algorithmic equity, modeling for decision support, & modeling behaviors.
Osoba is the associate director for Tech & Narrative Lab at the Pardee RAND Graduate School. And he codirects RAND's Center for Scalable Computing and Analysis.
Before RAND, Osoba was a researcher at the Signal and Image Processing Institute (SIPI) at the University of Southern California (USC) where he worked on theoretical and applied methods for speeding up machine learning algorithms. His work there is the basis of several machine-learning patents. He received his Ph.D. in electrical engineering from the University of Southern California, and his B.S. in electrical and computer engineering from the University of Rochester.
Research Focus
Pardee RAND Graduate School Courses
Selected Publications
Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung, "Steps Towards Value-Aligned Systems," Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020
Osonde A. Osoba, Bart Kosko, "Fuzzy Cognitive Maps of Public Support for Insurgency and Terrorism," Journal of Defense Modeling and Simulation, 14(1), 2017
K. Audhkhasi, O. Osoba, and B. Kosko, "Noise-Enhanced Convolutional Neural Networks," Neural Networks, 78, 2016
Osonde Osoba, Sanya Mitaim, and Bart Kosko., "The noisy expectation–maximization algorithm," Fluctuation and Noise Letters, 12(03), 2013
Recent Media Appearances
Interviews: KPBS-TV Online; Newslaundry
