Source: Semantic Scholar

This scholarly article examines the evolving legal frameworks for assigning liability in cases where artificial intelligence (AI) causes damage. It emphasizes the complexities of determining responsibility in scenarios involving autonomous systems, as traditional legal principles may not fully apply to AI-driven technologies.

The study explores several models of liability, including strict liability, product liability, and negligence-based approaches. It highlights the challenges of identifying fault when AI acts autonomously or when harm results from algorithmic decisions that lack transparency.

The article also discusses the potential need for new legal frameworks that incorporate AI’s unique characteristics, such as its ability to learn and adapt over time. It concludes by calling for international collaboration to harmonize liability laws and ensure accountability in the development and deployment of AI systems, particularly as they become increasingly integrated into critical sectors like healthcare, transportation, and finance.