The new advisory shifted from approval-seeking to labeling, highlighting a balance and structural lessons for India's AI regulation approach.
The language of advisories lacks differentiation between AI use cases, market actors, and layers of the value chain, necessitating proportionate regulation and risk-based interventions.
Regulations aiming to eliminate AI bias may lead to risk-averse innovators and non-compliance; nuance, standards, diverse testing, human involvement are likely more effective approaches.
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