Public Lecture: Liability for Damage Caused by AI: The Case of Autonomous Vehicles
The Institute of Philosophy at KU Leuven hosted a public lecture and debate titled "Liability for Damage Caused by AI: The Case of Autonomous Vehicles," presented by Professor Jan De Bruyne. This event took place on December 9, 2019, from 6:30 PM to 8:00 PM in Room C of the Institute of Philosophy.
The lecture addressed the complexities of assigning liability for damages resulting from autonomous vehicles. Professor De Bruyne examined the challenges in applying traditional tort law principles to AI-driven incidents, highlighting the uncertainties of fault-based liability in this context. He discussed the potential shift towards strict liability mechanisms and analyzed the implications of the Product Liability Directive in such scenarios.
Following the lecture, a short reflection was provided, leading into a public debate. This format encouraged active participation from attendees, fostering a comprehensive discussion on the legal ramifications of AI in autonomous transportation.
This event was particularly relevant for legal professionals, policymakers, and scholars interested in the intersection of technology and law, offering valuable insights into the evolving landscape of liability in the age of artificial intelligence.
Speakers(1)
Jan De Bruyne
Senior Academic Researcher at Flemish Knowledge Center for Data and Society
Jan De Bruyne is a senior academic researcher on legal and ethical aspects of AI at the Flemish Knowledge Center for Data and Society. He is also a lecturer and postdoctoral researcher at the Centre for IT & IP Law (CiTiP) of the University of Leuven and works as a postdoctoral researcher on AI and liability at the Ghent University Faculty of Law and Criminology. He successfully defended his Ph.D. in September 2018 on a topic dealing with legal aspects of third-party certifiers.
Event Details
- Date
- December 9, 2019
- Location
- 🇧🇪 Leuven, Belgium
- Room C, Institute of Philosophy
- Pricing
- Free
- Audience
- Legal professionals, policymakers, scholars, and students interested in AI and law.