Artificial intelligence (AI)—Including machine learning—is rapidly developing and increasingly used by commercial and governmental entities, including courts. Yet, how can judges and juries rely on information (including imagery or texts) arising from the use of AI when computers cannot be cross-examined, or AI developers claim that their algorithms are “proprietary”? What can, or should, be done about generative AI (e.g., “deepfakes”) and/or training data that may be “biased”? Panelists, Dr. David Doermann, Director of the Institute for Artificial Intelligence and Data Science, the State University of New York at Buffalo, Hon. Paul W. Grimm (ret.), Director, Bolch Judicial Institute at Duke Law School, and Prof. Rashida Richardson, Assistant Professor of Law and Political Science, Northeastern University, grapple with cutting-edge and complex questions about handling AI outputs in legal proceedings—especially given that the Federal Rules of Evidence may not yet take this new reality into account. This session is moderated by Ms. Lucy Thomson, Founding Principal, Livingston PLLC.
Disclaimer: The views and opinions expressed in this presentation are those of the presenters. They do not necessarily reflect the opinions, views or policy positions of the American Association for the Advancement of Science (AAAS) or its members.
