Law, artificial intelligence, & liability: assessing the correspondence between Kenyan law and civil liability for autonomous artificially intelligent systems

Abstract

The rise of AI throws a wrench into established civil liability rules. This paper identifies these roadblocks and proposes solutions on how to adapt legal frameworks to hold AI accountable. The investigation carried out within this dissertation focuses on the multilayered interplay between AI and regulation. The primary goal of this dissertation is to investigate and determine who is liable for harms caused by AI systems. The paper explores the complex issues surrounding assigning blame for the defects in AI systems, aiming to offer a thorough grasp of the practical, ethical, and legal aspects of this matter. Furthermore, we examine the evolving field of artificial intelligence (AI), the current legal systems, and emerging issues via a multidisciplinary lens with the goal of illuminating the way forward for developing a fair and responsible framework for AI system accountability. The analysis moves for a proposal for a legal framework that can accompany the development of AI in Kenya, as it is paramount for the diverse actors who operate within.

Description

Full - text undergraduate research project

Keywords

Citation

Shako, B. (2025). Law, artificial intelligence, & liability: Assessing the correspondence between Kenyan law and civil liability for autonomous artificially intelligent systems [Strathmore University]. http://hdl.handle.net/11071/16160

Endorsement

Review

Supplemented By

Referenced By