Events
Data Governance in the Age of Generative AI
Organized by GW’s Susan Ariel Aaronson, the conference will feature two days of panel discussions that explore new ideas for how to govern the data underpinning generative AI while promoting broader understanding and engagement in the governance of data.
Fifth Edition of The Athens Roundtable: AI & The Rule of Law
Co-hosted by TRAILS, the Fifth Edition of the Athens Roundtable on AI and the rule of law will reconvene in Washington, D.C., to examine the risks of foundation models and generative AI, as well as promising AI governance mechanisms to mitigate them. UMD’s Tom Goldstein and GW’s David Broniatowski are speaking at the event.
Rising Stars in Machine Learning Workshop
The University of Maryland Center for Machine Learning is hosting an academic workshop featuring the 2023 winners of its Rising Stars in Machine Learning program, designed to support researchers from underrepresented groups. This year’s workshop is receiving support from TRAILS.
Congressman Don Beyer Chats with Hal Daumé
Like many Americans, members of Congress are struggling to understand the costs and benefits as well as the workings of various forms of AI. But Congressman Don Beyer is not your average member. Like other members, he serves on several committees, including the Joint Economic Committee and the House Committee on Ways and Means. Additionally, Beyer enrolled as a student in artificial intelligence at George Mason University because he is fascinated by AI and wants to apply his understanding to legislation. In this webinar, Hub friend Professor Hal Daumé will ask the Congressman about his coursework, how his understanding of AI can help other members keep up with the technology, and whether and how Congress should regulate high-risk AI.
Generative AI 101 Webinar
Generative AI is many things: it is simultaneously scary, useful, flexible, opaque, exciting, and dangerous. Researchers, policymakers, creatives, and executives around the world are turning to these models to answer complex questions, rethink practices and procedures, and save time. Large language models are performing scientific research in many fields while democratizing access and understanding of some types of AI. Yet researchers struggle to explain what these systems are actually doing and how they utilize personal, public, and proprietary data to answer our prompts. The data giants with huge computing power, skilled workers, and large troves of data are the main suppliers of generative AI and reaping many of the potential income and investments.
Trustworthy AI Panel
Join us for an interactive panel discussion focused on trustworthy AI, featuring Professors David Broniatowski and Susan Ariel Aaronson of the George Washington University’s School of Engineering and Applied Science and the Elliott School of International Affairs.
This event is presented by the Penn West Equity and Innovation District, and sponsored by the Office of the Deputy Mayor for Planning and Economic Development, the Golden Triangle Business Improvement District, The George Washington University, and the Washington DC Economic Partnership.