Abstract

Artificial intelligence (AI) and blockchain technologies are rapidly transforming industries and sectors worldwide, from finance and healthcare to government services and supply chain management. While these technologies offer immense potential, they also present unprecedented regulatory challenges. Governments around the globe, including India, are grappling with how to regulate these technologies to maximize benefits while minimizing risks such as privacy violations, misuse, and market disruptions. This comparative study examines the regulatory frameworks for AI and blockchain in India in comparison to other major jurisdictions, including the European Union (EU), the United States, China, and Singapore. India’s AI and blockchain regulatory landscape is still developing, with initiatives like the National Strategy on Artificial Intelligence and the ongoing debate on cryptocurrency regulations shaping its path. On the contrary, the EU has moved forward with comprehensive frameworks, such as the General Data Protection Regulation (GDPR) and the proposed AI Act, while the U.S. adopts a more fragmented, sectoral approach. China's central governance approach to both technologies, particularly blockchain, illustrates a different regulatory philosophy driven by state control. Singapore, on the other hand, represents a more flexible and innovation-friendly regulatory environment. This study aims to explore key regulatory approaches, highlighting their implications for innovation, privacy, and governance, while drawing insights for India as it seeks to balance innovation with regulation. The paper also discusses global trends, challenges, and recommendations for harmonizing AI and blockchain regulations across borders.

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