AI & Data Science Stars Seminar Series
The AI & Data Science Stars Seminar Series aims to establish interdisciplinary collaboration by connecting emerging scholars and recent NSF (or other agencies) CAREER awardees across diverse research fields, especially targeting Data Science (DS) faculty members’ research directions and beyond (including Computer Science and Information Systems), enhancing the DS department's identity and Ying Wu College of Computing (YWCC) as a hub for innovation and thought leadership. It provides an open platform for sharing cutting-edge research, inspiring students and early-career researchers, and fostering professional networks between academia and industry.
Spring 2025 Speakers
Inaugural LectureEmerging Legal Due to snow closure, this event has been changed to February 20, 2025 |
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Brief Bio:
David Opderbeck is Professor of Law and Co-Director of the Gibbons Institute of Law, Science & Technology and Institute for Privacy Protection at Seton Hall University Law School. His legal scholarship focuses on artificial intelligence, cybersecurity, data privacy, and intellectual property law. He develops and teaches innovative courses in technology law, including Cybersecurity Law and Policy, Artificial Intelligence and the Law, and a Data Privacy and Security Lab. He also leads the Law School's Data Privacy and Security Compliance Program. In the core law school curriculum, he has taught Property Law, Constitutional Law, and Torts. He is also a Faculty Associate with the Berkman-Klein Center for Internet & Society at Harvard University. Prior to his career in academia, Professor Opderbeck was a Partner in the Intellectual Property / Technology practice at McCarter & English, LLP, where he began practicing cyber and intellectual property law in the early years of the public Internet.
Emerging Legal Frameworks for AI
There is general consensus about some basic principles of AI ethics and policy, including transparency, fairness, explainability, privacy, security, and accountability. It is unclear how these broad goals could be incorporated into positive law. The European AI Act is the most prominent and extensive example of AI-specific law. It embodies a regulatory framework that is in many ways similar to the EU's General Data Protection Regulation (GDPR), which previously set the global pace for comprehensive privacy regulation. A number of U.S. states have enacted or are in the process of enacting AI laws, which are mostly issue- or sector-specific. During the Biden Administration, the U.S. Federal government began to develop policy positions relating to AI, but there has not yet been any sustained movement towards comprehensive legislation, and the incoming Trump Administrations priorities relating to AI are unclear. This talk will survey the existing legal landscape and highlight some difficulties policymakers face in this domain.
The series is open to the public; no registration fee is required.
Learn more about our graduate programs:
M.S. in Data Science
Ph.D. in Data Science
M.S. in Artificial Intelligence