Upcoming 2025–26 Events
Please visit Past Events for recordings.
Fairness in the European Union Artificial Intelligence Act with Professor Jérôme De Cooman
Tuesday, Oct. 7, 2025 | 12 – 1 p.m. | King Hall, Room 1002 | Streaming Link
Professor Jérôme De Cooman will explore how the EU’s Artificial Intelligence Act incorporates elements of fairness. Contrary to other EU digital law instruments, the AI Act’s provisions contain only scarce references to fairness. Nevertheless, fairness concerns underlie the frameworks of non-discrimination and accountability or answerability in the AI Act. Both substantive and procedural fairness considerations may come into play in the application of the AI Act. The AI Act presents yet another illustration of fairness as a market-based outcome and as a procedural feature accompanying digital legislation.
Jérôme De Cooman is research professor at the University of Liege (Belgium), where he teaches intellectual property, competition, and data law, as well as EU law, (Big) Data and AI Applications. As part of his research, he pays particular attention to the economic impact of generative AI on the art market. He is also lecturer at the Brussels Study Center where he teaches a course on sectoral applications of AI, focused on competition law enforcement and the use of AI on judicial proceedings.
#TeamHuman: Community Rooted AI Research with Dr. Timnit Gebru — Cosponsored by CILS and UC Davis AI Center in Engineering
Tuesday, Oct. 14, 2025 | 12 – 1 p.m. | King Hall, Room 1001 | Streaming Link
In the last few years, the quest to build so-called Artificial General Intelligence (AGI), an undefined system which seemingly can do any task under any circumstance, has captured the public's imagination. Those whose mission has been to build this system, like the leaders of OpenAI, Anthropic, Deepmind and others, discuss the utopia that will imminently come from building AGI, or the apocalypse that will be caused by it rendering humanity extinct. In this talk, Dr. Gebru discusses the history of the AGI movement, and its link to the 20th century eugenics movement, with those who "christened" the term AGI having the goal of replacing humans with a superior race they call "transhuman AGI." She outlines the harms the quest to build AGI has caused, including labor exploitation, centralization of power and the safety issues associated with building an unscoped system. She closes by giving examples of various movements to resist this trend, including artists' fight to preserve their humanity and dignity with the hashtag #TeamHuman. Dr. Gebru urges the machine learning community to focus on small, constrained, task-specific models, and presents some of the work from DAIR showing how this approach outperforms the one-size-fits-all trend to building machine learning based models.
Dr. Timnit Gebru founded the Distributed AI Research Institute (DAIR) in 2021 and is currently its Executive Director. She previously co-led Google’s Ethical AI research team, until co-publishing a journal article that critiqued the company’s AI ethics. DAIR publishes interdisciplinary research that brings a greater diversity of perspectives and lived experiences to envisioning the future of AI. Dr. Gebru also co-founded the nonprofit Black in AI and serves on the board of AddisCoder. Time magazine named Dr. Gebru one of the 100 most influential people in the world in 2022 and one of the 100 most influential people in AI in 2023. Her memoir/manifesto The View from Somewhere is scheduled to publish in fall 2026.
AI Legislation in the US: A Descriptive Analysis with Professor Hemant Bhargava
Thursday, Oct. 16, 2025 | 12 – 1 p.m. | King Hall, Room 1301 | Streaming Link
Professor Bhargava will present his team’s ongoing research examining legislation in the U.S. states to govern the production and use of AI tools. As a first step, they built computational tools to facilitate the 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 the nature of AI legislative proposals, factors that affect successful passage, leader-follower relationships across states, and the 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 they hold 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.