Fourth Annual Legal Tech CLE
The Fourth Annual UND School of Law Legal Tech CLE:
Navigating Generative AI's Complex Collision with Intellectual Property Law
10:00 a.m. to 12:00 p.m., Friday, March 22, 2024
Free Virtual CLE -- The webinar link will be distributed to registrants 24 hours before
the program.
Approved for 2 CLE credits in ND.
CLE credit pending for MN.
Registration Deadline: Thursday, March 21 at 10:00 a.m.
Program
This course will explore the intersection between the fast-paced development of generative artificial intelligence (AI) and intellectual property (IP) law, which has raised new and unsettled legal questions regarding the protection of generative AI as well as the liability arising from its use.
The CLE will first lay a foundation for generative AI and the novel legal issues it has created, followed by a brief overview of IP and its availability to effectively protect generative AI.
The second segment of the course will focus on addressing whether the use of generative AI presents liability concerns for its creators and users. To conclude, the course will provide practical advice for moving forward with this important but disruptive technology, including focused suggestions for creators and users of AI, as well as practitioners advising clients in this space.
Presenter
Assistant Professor of Law Nikola Datzov
Professor Datzov teaches courses in Intellectual Property, Torts, Remedies, and Conflict
of Laws. He is a passionate and engaging teacher in the classroom with a distinguished
record for innovative teaching, having received numerous awards for his teaching methodologies.
Most recently, in 2022, Professor Datzov was honored as a Teacher of the Year by
the Association of American Law Schools, received UND's award for Exemplary Course
Development and Instruction, and was awarded the UND School of Law Randy H. Lee Faculty
Award. Professor Datzov's research and scholarly interests relate to artificial intelligence
(AI), patent law, and the intersection between technology and different areas of intellectual
property law. His most recent work has focused on AI and patent subject matter eligibility.