Black Box on Trial: Defending AI-Embedded Products When the Algorithm Cannot Explain Itself

Artificial intelligence is transforming consumer products, healthcare, transportation, and countless other industries—but what happens when an AI-driven decision causes harm and no one can fully explain why? As courts begin to confront the challenges of "black box" algorithms, manufacturers, insurers, and legal professionals face new questions about product liability, explainability, and accountability. This webinar will examine emerging litigation trends involving AI-embedded products, explore how traditional product liability theories apply to machine learning systems, and discuss practical strategies for managing risk, documenting AI decision-making, and preparing for future claims.