As AI becomes increasingly prevalent, questions surrounding legal responsibility for AI-related harm
persist. This article examines emerging liability theories, including strict liability, negligence, and
product liability, through real-world scenarios like autonomous vehicle accidents and medical device
malfunctions. The article argues for a multifaceted approach to AI liability, combining elements of
each theory to ensure accountability, prevent harm, and promote innovation. Using a mixed-methods
approach, the research draws on a comprehensive literature review, landmark cases, and national
and international AI policies.