SEBI’s Tiered AI Regulations for Indian Financial Markets

The Securities and Exchange Board of India (SEBI) is actively crafting a new tiered regulatory framework for the responsible integration of Artificial Intelligence (AI) and machine learning within India’s financial markets.

This comprehensive framework will impose strict requirements on regulated entities, ensuring accountability, robust data controls, and essential human oversight, even for AI solutions procured from third parties.

Implementing AI Accountability and Controls

SEBI’s proposed framework mandates several critical components for AI system deployment, holding entities responsible for ensuring compliance across all applications.

• Accountability for AI system outcomes.
• Robust data privacy, security, and integrity controls.
• Meaningful human oversight in AI-driven decisions.
• Mandatory ‘kill switches‘ for system deactivation.

The tiered approach will customize regulatory controls based on the specific risk level associated with each AI application, ensuring proportional governance.

The ‘kill switch’ mechanism, a core safety feature, requires clearly defined triggers and authorized decision-makers to initiate it.

• Clear triggers for activation.
• Designated authorized decision-makers.
• Thoroughly tested fallback procedures.

This ensures that human intervention remains paramount in managing AI systems, particularly during unforeseen circumstances or errors.

Broader Capital Market Reforms by SEBI

Beyond AI regulation, SEBI Chairman Tuhin Kanta Pandey outlined several broader capital market reforms designed to enhance participation and asset availability across the Indian market.

• Introduction of new portfolio management products.
• Expanded access to commodity derivatives for Foreign Portfolio Investors (FPIs).
• Exploration of corporate bond tokenization.

These initiatives aim to deepen market liquidity and offer more diverse investment avenues to both domestic and international participants.

Furthermore, SEBI is shifting its supervisory approach from routine inspections to a more targeted risk-based model, leveraging advanced AI tools for market oversight.

• Project SUDARSAN for enhanced surveillance.
• R(AI)DAR for real-time market risk detection.

This strategic shift underscores SEBI’s commitment to modernizing market regulation through technological adoption, while simultaneously ensuring robust oversight and investor protection.