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India Needs Own AI Safety Framework, Not US Copy: Experts Urge Tailored Approach
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News18•04-10-2026, 15:45
India Needs Own AI Safety Framework, Not US Copy: Experts Urge Tailored Approach
- •Industry experts advocate for India to develop its own AI safety framework, distinct from the US pact, to suit its unique linguistic, scale, and application-led AI ecosystem.
- •The White House Accord on Super Intelligence, a voluntary AI safety pact, was signed by Donald Trump and top tech firms including Google, OpenAI, and Meta, focusing on internal controls and independent audits.
- •Nasscom Chairman Srikanth Velamakanni emphasizes that India should build on a domestic commitment for AI safety, noting the US model's self-policing approach versus the EU's risk-based and China's state-directed models.
- •Experts call for a comprehensive commitment involving all stakeholders to address risks like deepfakes and cyberattacks, with differing views on the sufficiency of voluntary measures alone.
- •Key considerations for an Indian framework include ensuring AI works reliably across vernacular languages, preventing exploitation of AI knowledge asymmetry, and ensuring a level playing field for global and Indian AI companies.
Key Questions Answered
Experts argue that India needs an artificial intelligence safety framework tailored specifically to its diverse languages, large scale, and application-led ecosystem rather than replicating a voluntary self-policing model signed by US leaders and tech firms.
Stakeholders emphasize tackling critical threats such as deepfakes, cyberattacks, political misinformation, and systemic vulnerabilities, while ensuring reliable performance across vernacular languages and unique cultural contexts.
Opinions are divided; some experts advocate for binding rules or a hybrid approach combining voluntary standards with mandatory oversight for high-risk sectors, while others favor self-regulation to prevent stifling local competition.
