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Professor Bhargava will present his team’s ongoing research examining legislation in the U.S. states to govern production and use of AI tools. As a first step, they built computational tools to facilitate collection of over 1500 AI-related bills proposed over the last 5 years, and to categorize them into a custom-developed taxonomy. Next, they extended the resulting structured database with additional elements of interest, covering political, demographic, and economic factors. Finally, they are examining how these factors shape regulatory efforts and outcomes. This includes inter-state variations in nature of AI legislative proposals, factors that affect successful passage, leader-follow relationships across states and nature of overlap in proposed rules.
Hemant Bhargava, UC Davis Graduate School of Management Distinguished Professor, Jerome and Elsie Suran Chair in Technology Management, Associate Dean for Academic Affairs, and Center for Analytics and Technology in Society Director, is an academic leader in economic modeling and analysis of technology-based business and markets. His research focuses on decision analytics and how the distinctive characteristics of technology goods influence specific elements of operations, marketing, and competitive strategy, and the implications it holds for competitive markets and technology-related policy. He has examined deeply these issues in specific industries including platform businesses, information and telecommunications industries, healthcare, media and entertainment, and electric vehicles.