The rapid integration of Artificial Intelligence (AI) into governance, commerce, and public decision-making has generated significant legal and constitutional challenges. While AI enhances efficiency and innovation, it simultaneously raises concerns regarding privacy, equality, and accountability. In India, the absence of a comprehensive AI-specific legislation has resulted in a fragmented regulatory landscape, primarily dependent on data protection laws and policy guidelines lacking enforceability. This paper critically evaluates the adequacy of India’s existing legal framework in addressing AI-related harms, particularly algorithmic bias, lack of transparency, and liability issues. Through a doctrinal and comparative analysis, it examines global regulatory approaches, including the European Union’s risk-based model and the United States’ sectoral framework. The paper argues that India’s reliance on soft law mechanisms is insufficient to safeguard constitutional rights. It proposes a hybrid regulatory framework incorporating risk-based classification, mandatory audits, and enforceable transparency obligations. The study concludes that India must adopt a comprehensive and adaptive AI regulatory regime aligned with constitutional principles to balance innovation with accountability.
Building similarity graph...
Analyzing shared references across papers
Loading...
Devkant
Building similarity graph...
Analyzing shared references across papers
Loading...
Devkant (Mon,) studied this question.
www.synapsesocial.com/papers/69d5f07d74eaea4b11a79dd7 — DOI: https://doi.org/10.64388/irev9i10-1715947