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Is India Choking Innovation by Rushing to Regulate AI?

  • While India is grappling with regulating artificial intelligence (AI), many argue that such discussions are being rushed, as AI is still in its early stages and adoption is still limited.
  • Experts at the recently concluded Bengaluru Tech Summit highlighted the need for policymakers to take a use-case-driven approach rather than a sector-based or generic approach.
  • For a diverse country like India, developing AI must go beyond urban-centric debates and take into account the unique challenges in rural areas, such as wider use of regional languages and less internet access.
  • AI adoption in rural areas is slower due to challenges like low digital literacy, limited internet access, and lack of regionally relevant datasets, and large-scale implementation is still far from reality.
  • Subi Chaturvedi, InMobi’s chief corporate affairs and public policy officer, argued that regulations should come post-innovation and adoption rather than perceived progress.
  • Vivek Abraham, senior director at Salesforce, pointed out that AI's probabilistic nature means that identical prompts can produce varying outputs, and it is thus difficult to regulate.
  • Sunil Abraham, Meta’s public policy director, recommended tailoring regulations to specific sectors with stricter rules for high-risk areas such as medical diagnostics and leaving low-risk uses unregulated.
  • Addressing challenges, particularly in India's underserved communities, could position India as a leader in AI.
  • Many experts spoke about the importance of creating AI solutions that reflect India’s linguistic and cultural diversity and take into account the realities of rural and semi-urban India.
  • Charmaine Ng, director for Asia Pacific at Schneider Electric, emphasised the need for international standards for AI that work across borders.

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