SEBI is preparing guidelines for responsible use of artificial intelligence and machine learning in India's securities markets. The framework will mandate a 'kill switch' — an emergency override mechanism to halt AI-driven trading systems during abnormal market conditions. The rules aim to ensure human oversight over algorithmic decision-making, prevent systemic risk from automated failures, and establish accountability standards for regulated entities deploying AI tools in trading, surveillance, and compliance functions.

SEBI's forthcoming AI framework sits at the intersection of financial market regulation and emerging technology governance — a combination the UPSC and RBI Grade B examiners have repeatedly mined.

The 'kill switch' is the most examinable element. In algorithmic and high-frequency trading (HFT), AI systems can execute thousands of orders per second. A malfunctioning or adversarially manipulated model can trigger cascading sell-offs or flash crashes — the 2010 US Flash Crash is the canonical example. A mandatory kill switch gives market operators or the regulator the power to instantly suspend AI-driven activity, restoring human control.

SEBI already regulates algorithmic trading under its 2012 circular framework, which requires co-location disclosures, audit trails, and risk controls. The new AI rules extend this to ML models specifically, which are harder to interpret (the 'black box' problem) and harder to audit than rule-based algorithms.

Key regulatory principles being embedded: explainability (regulated entities must be able to explain AI decisions), accountability (clear human ownership of AI outputs), and proportionality (safeguards scaled to the risk of the AI use case).

India's approach mirrors global moves — the EU AI Act (2024) classifies financial AI as high-risk; the US SEC has proposed AI conflict-of-interest rules. SEBI's framework makes India one of the first emerging-market regulators to formalise securities-specific AI governance.

For exam purposes: SEBI is the nodal regulator; the mechanism is the kill switch; the risk being addressed is systemic failure from autonomous AI trading; the policy anchor is the SEBI Act, 1992, which empowers SEBI to issue binding circulars to market intermediaries.