Abstract:
It is an exciting time for AI at the University of Florida. The University of Florida is making artificial intelligence the centerpiece of a major, long-term initiative that is combining world-class research infrastructure, cutting-edge research, and a transformational approach to curriculum. This has been facilitated by the gift of a supercomputer — known as HiPerGator AI — based on an NVIDIA DGX SuperPOD of 140 DGX A100 systems and NVIDIA Mellanox HDR InfiniBand networking from UF Alumnus Chris Malachowsky and NVIDIA, the leading AI computing company he co-founded. It pairs with the third incarnation of UF’s general purpose supercomputer HiPerGator 3.0.
Broad societal acceptance of large-scale deployments of AI systems rely critically on their trustworthiness which, in turn, depends on the ability to assess and demonstrate the fairness (including broad accessibility and utility), transparency and explainability of such systems. For example, the issue of fairness and bias are central to the behavior of algorithms for face recognition, speech, and language, especially when integrated into decision support systems.
Research thrusts on this topic include algorithmic advances, fairness objectives, validation of fairness, participatory design, explainability, presence of adverse biases (including social ones), mitigation strategies and so forth.
Agenda
Guest Speakers
Dr. Rayid Ghani, Professor in Machine Learning and Public Policy, Carnegie Mellon University, “Practical Lessons and Challenges in Building Fair and Equitable AI/ML Systems”
Dr. Alexandra Chouldechova, Estella Loomis McCandless Assistant Professor of Statistics and Public Policy at Heinz College of Information Systems and Public Policy, Carnegie Mellon University, “Statistical Challenges in Algorithmic Fairness and Accountability”
Heting Wang, Graduate Student, Dept. of Computer & Information Science & Engineering; “Does Dataset Distillation Impact Privacy?”
Dr. Octavio Mesner, Posdoctoral Researcher, Dept. of Statistics, University of Michigan; “Fair Information Spread on Social Networks with Community Structure”
Dr. J. Chris Goldstein, Instructor, Dept. of Anesthesiology, “Mitigating AI Bias: Teaching Resident Physicians to Become Anesthesiologists-in-the-Loop (AITL)”
Dr. Yuekai Sun, Assistant Professor, University of Michigan, “Does Enforcing Fairness Mitigate Algorithmic Biases Due to Distributional Shift?”
Dr. Ilya Shpitser, John C. Malone Assistant Professor at the department of Computer Science at Johns Hopkins University, “The Proximal ID Algorithm”
Dr. Kush Varshney, Distinguished Research Staff Member and Manager with IBM Research, Thomas J. Watson Research Center, “A Perspective on AI Governance”
Dr. Negar Rostamzadeh, Senior Research Scientist, Google, “Rethinking Values in Machine Learning Research and Practice”
Dr. Arthur Gretton, (virtual) Professor with the Gatsby Computational Neuroscience Unit, University College of London, “Causal Modelling with Kernels: Treatment Effects, Counterfactuals, Mediation, and Proxies”
Conference Video Recording
Dr. Yukai Sun
Dr. Iily Shpitser
Dr. Rayid Ghani
Dr. Kush Varshney
Dr. Negar Rostamzadeh
Dr. Arthur Gretton
Organizers
Dr. Michael Daniels, Chair of Dept. of Statistics
Dr. George Michailidis, Director of UF Informatics Institute,
Dr. Rohit Patra, Assistant Professor of Statistics
Dr. Georgia Papadogeorgou, Assistant Professor of Statistics