(via Jody Bailey, Emory University)
Please join Emory University Libraries on Wednesday, April 10, from 10:00 to 11:00 AM CDT, for an expert panel discussion titled “Can I mine this? A panel discussion on AI, copyright, and computational analysis”. Panelists will discuss how U.S. copyright law interacts with artificial intelligence and affects your ability to perform text data mining and other types of computational analysis. The event will be hybrid with an in-person option in the Woodruff Library Jones Room on Level 3; online attendees will receive a Zoom link a few days before the event.
Register here.
Confirmed Speakers
Dave Hansen is the executive director of Authors Alliance, a nonprofit that has led efforts to secure copyright exemptions for text data mining researchers. He is currently co-PI on a project supported by the Mellon Foundation to lower legal barriers to text data mining (TDM) research. Over the last decade, he has testified before Congress and the U.S. Copyright Office about copyright issues affecting academic authors and universities and has advocated for their rights in numerous briefs before the courts. Before Authors Alliance, Dave was lead for copyright & information policy and associate university librarian for Research, Collections, and Scholarly Communications at Duke University.
Lisa Macklin is the associate vice provost and university librarian of Emory Libraries. As both a librarian and a lawyer, her interests include the application of copyright law to teaching, research and publishing; transformations in scholarship and publishing, including new models of scholarship in digital form and the Open Access movement. She served as PI on a grant from the Mellon Foundation to create a Model Publishing Contract for Digital Scholarship and is cocreator of two MOOCs on copyright for educators and librarians. She has published multiple articles and book chapters primarily focusing on copyright and libraries.
Matthew Sag is a professor of law in artificial intelligence, machine learning, and data science at Emory University Law School. For over a decade, he has helped academic researchers navigate the legal and ethical issues that arise in processing large volumes of copyrighted material to find patterns, extract useful metadata, and train machine learning systems. In July 2023, he testified to the U.S. Senate Judiciary Committee Subcommittee on Intellectual Property in relation to copyright and generative AI. Sag is a leading authority on the fair use doctrine in copyright law and the intersection of copyright law and text data mining, machine learning, and generative AI.