India's watchdogs chart flexible course for AI regulation

India's financial regulators are grappling with a fundamental challenge: how to govern a technology that transforms faster than traditional rule-making can accommodate. The Securities and Exchange Board of India (Sebi) and Reserve Bank of India (RBI) have recently issued guidance suggesting that rigid, narrowly-defined regulations risk becoming obsolete before they take effect.

Both regulators have signalled a preference for principles-based oversight that establishes clear objectives and accountability mechanisms without mandating specific technical implementations. This flexible approach would allow Indian companies to adopt AI solutions tailored to their operational needs while remaining compliant with broader governance expectations around transparency, risk management and ethical use.

The papers suggest that India Inc should establish robust internal frameworks for AI deployment, including regular audits, bias testing and clear lines of accountability. Rather than dictating how companies must develop or deploy AI systems, the regulators appear intent on ensuring organisations can demonstrate responsible practices and manage potential harms.

Industry observers note this strategy reflects a global tension in AI governance. Overly specific regulations can stifle innovation and become outdated quickly, while insufficient guardrails risk enabling harmful applications. India's approach attempts to navigate this middle ground, providing direction to businesses while preserving the regulatory flexibility needed as technology continues its rapid evolution.

The framework comes as Indian enterprises increasingly integrate AI across operations, from customer service to risk assessment, making timely regulatory guidance critical for both companies and consumers.