Navigating the Legal Landscape of Artificial Intelligence: Emerging Challenges and Regulatory Framework in India

Abstract

Artificial Intelligence (AI) has revolutionized various industries in India, driving efficiency and innovation across sectors. However, the rapid advancements in AI have also given rise to complex legal and ethical challenges, particularly regarding liability and accountability. This abstract examines the evolving legal landscape surrounding AI in India, focusing on the emerging challenges and the current regulatory framework. The article begins by defining AI and its types, highlighting the importance of addressing liability and accountability issues. It delves into the complexities of assigning responsibility in cases of errors, mishaps, or unethical behavior by AI systems, which involve a network of stakeholders including developers, manufacturers, users, and regulators. The abstract then explores specific challenges posed by AI, such as the spread of deepfakes and misinformation, biased algorithms, and the difficulty in isolating personal data from AI training parameters. It also discusses the limitations of existing Indian laws, such as the Copyright Act and the IT Act, in governing AI-generated content and preventing misuse. The abstract also highlights recent policy initiatives by the Ministry of Electronics and Information Technology (MeitY) to promote responsible AI development in India.

Keywords: Legal Landscape, Liability and Accountability, Regulatory Framework, DPDP Act