Abstract

The rapid development and integration of artificial intelligence (AI) systems in modern society have raised concerns about the potential harm that these systems can cause. There is a growing need to establish legal responsibility and liability frameworks to ensure that individuals and organizations are held accountable for any harm caused by AI systems. The integration of artificial intelligence (AI) into various aspects of society has raised concerns about the potential harm that these systems can cause. This paper examines the legal responsibility for harm caused by AI systems and the need for effective liability frameworks. The paper provides a detailed analysis of the different types of liability that can be applied to AI systems, including tort law, product liability, and criminal liability. It also explores the challenges involved in applying traditional liability frameworks to autonomous systems, such as issues of intention and negligence, and proposes the potential application of strict liability to AI systems. The paper presents case studies of legal cases involving harm caused by AI and analyses the liability frameworks that were applied. The analysis highlights the complexities involved in determining legal responsibility for harm caused by autonomous systems. The paper also addresses the issue of algorithmic bias and its impact on liability for harm caused by AI, as well as the future considerations for liability frameworks as AI continues to advance and become more integrated into society. The paper concludes with recommendations for the development of effective liability frameworks that can keep pace with the rapid development and integration of AI systems. Overall, the paper highlights the importance of legal frameworks that ensure individuals and organizations are held responsible for any harm caused by AI systems.

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