The Legal Implications of Artificial Intelligence Bias: A Comparative Analysis of Liability Frameworks Across Jurisdictions

Abstract

Artificial Intelligence (AI) has rapidly permeated various sectors, offering transformative potential while simultaneously presenting significant challenges, particularly in terms of bias and accountability. This paper explores the legal implications of AI bias through a comparative analysis of liability frameworks across jurisdictions, focusing on the complexities of assigning responsibility when biased AI systems cause harm. By examining legal precedents, regulatory initiatives, and the socio-technical dynamics of AI development, the study identifies critical gaps in existing frameworks and proposes actionable solutions to enhance accountability. Emphasizing the need for transparency, fairness, and international collaboration, the findings underscore the importance of integrating interdisciplinary approaches to AI governance. This research contributes to the discourse on AI ethics and legal accountability, advocating for robust, harmonized frameworks that balance innovation with social equity and justice.