sectoral approach to AI regulation, rather than a one-size-fits-all law, are growing louder.
Jensen Huang, CEO of AI chip giant Nvidia, said at ET Conversations in Mumbai recently, “We should regulate AI in the context of every application. When you use AI as an accountant, that accountant should be regulated. When you use AI as a lawyer, that lawyer should be regulated. When you use AI as a doctor, that doctor should be regulated.”
To be sure, AI is already subject to the country’s existing provisions on data privacy, cybersecurity and copyright laws. Industry leaders say the need therefore is to plug gaps or clarify how existing regulations would apply to AI in specific ways.
“AI as a technology is neutral. It is the use of AI and how AI is applied that determines whether it’s high risk or low risk, right or wrong, good or bad,” said an executive of a multinational technology company that builds foundational models, adding that sectoral experts would be best positioned to make that assessment.
Centralised regimes such as the European Union’s AI Act can impact innovation downstream, experts said. While India’s Digital Personal Data Protection (DPDP) Act does not mandate data localisation, authorities like the Reserve Bank of India stepped in with requirements. Similarly, sectoral regulators can govern AI within their domains.
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