Artificial intelligence and U.S. product liability
In this IIL webinar, Garth Aubert and Suzanne McNulty discuss the adaptation of traditional product liability principles in the rapidly emerging world of artificial intelligence (AI), potential defences and the greater implications for manufacturers and society.
Artificial intelligence systems are capable of perceiving, learning and problem-solving with diminishing human intervention. Unlike conventional computer algorithms, AI systems can synthesize, store, and analyse data to inform their decisions. Though AI can offer profound benefits to society, it also presents new risks and legal challenges in the realm of products liability. This webinar addresses these novel issues, including how liability is assessed when accidents occur not from human error or inherent defects, but AI decisions.
Learning objectives:
- AI and damages – who may be liable
- Tort liability for AI under existing legal theories: negligence, strict liability, and breach of warranty
- What can be done to adapt the traditional product liability regime to better suit AI-related damages
- Guidance for producers and best practices advice
Venue
Booking information:
You will be sent a confirmation email shortly after booking. If you have not received this within one hour, please contact Patricia Pedraza (020 7397 3911).
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