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India Declines New AI Law, Opts for Existing Regulations and Risk Framework

Tech

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Updated on 06 Nov 2025, 01:13 am

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Reviewed By

Satyam Jha | Whalesbook News Team

Short Description:

A government committee has concluded that India does not need a separate law for Artificial Intelligence at this time. Existing laws will govern AI, but a specific India-centric risk assessment framework and voluntary industry measures for privacy and security are recommended. The focus will be on regulating AI applications rather than the core technology, with potential future legislation if required.
India Declines New AI Law, Opts for Existing Regulations and Risk Framework

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Detailed Coverage:

A high-powered government committee in India has decided against creating a new, dedicated law to regulate Artificial Intelligence (AI) for now. The committee believes that existing laws, such as those covering Information Technology, data protection, and consumer rights, are sufficient to manage the risks associated with AI. The primary recommendation is to develop an India-specific risk assessment framework based on actual observed harms. The guidelines also emphasize the importance of the industry adopting voluntary measures for privacy and security, and establishing a robust grievance redressal mechanism for AI-related issues. India's strategy is to regulate AI applications sector by sector rather than the underlying technology itself. The government stated that legislation would be pursued if the need arises in the future, aiming to balance innovation with risk mitigation. Impact: This decision provides regulatory clarity for AI development and adoption in India, potentially encouraging investment and innovation by avoiding immediate, complex new legislation. However, companies must ensure compliance with existing laws and focus on robust risk management. Rating: 7/10 Difficult terms: * Artificial Intelligence (AI): A field of computer science focused on creating systems that can perform tasks typically requiring human intelligence, like learning, problem-solving, and decision-making. * Risk assessment framework: A structured approach to identify, analyze, and evaluate potential risks associated with a particular activity or technology. * Empirical evidence of harm: Real-world observations and data demonstrating that a technology or practice has caused damage or negative consequences. * Voluntary measures: Actions taken by organizations or individuals out of their own initiative, without being legally compelled to do so. * Grievance redressal mechanism: A formal process established to handle and resolve complaints or issues raised by individuals. * Sectoral regulators: Government bodies responsible for overseeing and regulating specific industries or economic sectors. * Underlying technology: The fundamental science or engineering principles upon which a specific application or product is built. * Graded liability system: A framework where responsibility and penalties are assigned based on the severity of the action, the role played, and the care taken.


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