AI Liability and Accountability: A Review of Emerging Legal Frameworks

Dwiti Gambhir, Raghu Raja Mehra

Abstract: The abstract of this research paper delves into the evolving legal frameworks that are being established to address issues of liability and accountability concerning artificial intelligence (AI) systems. With the increasing integration of AI technology in various sectors, the question of responsibility for the actions of AI systems has gained significant prominence. The study examines the current landscape of AI regulation and the complexities faced in attributing liability in cases of accidents or errors involving AI technologies. It explores the diverse strategies and approaches being adopted by different jurisdictions to develop legal frameworks that govern the use of AI and determine accountability when unforeseen circumstances arise. Furthermore, the abstract underscores the significance of incorporating ethical considerations into the formulation of AI regulations, as ethical dilemmas often intersect with questions of legal liability. Various ethical frameworks proposed to guide the responsible development and utilization of AI are also discussed within the paper. The research emphasizes the necessity of establishing a robust and adaptable legal framework that can keep pace with the rapid advancements in AI technology while ensuring that appropriate mechanisms for assigning liability and accountability are in place. It advocates for collaborative efforts among policymakers, industry stakeholders, and ethicists to craft effective regulations that safeguard the interests of consumers and the wider society.

Keywords: Artificial Intelligence, Liability, Accountability, Ethics, Regulation, EU AI Act, Tort Law, Autonomous Systems

How to Cite?: Dwiti Gambhir, Raghu Raja Mehra, "AI Liability and Accountability: A Review of Emerging Legal Frameworks", Volume 14 Issue 9, September 2025, International Journal of Science and Research (IJSR), Pages: 846-849, https://www.ijsr.net/getabstract.php?paperid=SR25918083413, DOI: https://dx.doi.org/10.21275/SR25918083413