SEBI Sets Guardrails for Artificial Intelligence in Capital Markets

The Securities and Exchange Board of India released a detailed proposal that obliges market participants to disclose any AI‑driven models employed in trading, risk assessment, or advisory services. The draft mandates a ‘human‑in‑the‑loop’ verification step for algorithmic decisions that could affect price formation, and it outlines penalties for opaque or untested systems. By formalising these requirements, the regulator aims to prevent inadvertent market distortions caused by unchecked machine learning applications.

Underlying tensions have long simmered between fintech innovators eager to leverage sophisticated analytics and traditional regulators wary of opaque code. Industry bodies have argued that excessive oversight could stifle technological progress, while consumer advocates warn that hidden AI bias may erode trust in the equity market. The SEBI proposal attempts to balance these competing pressures by offering a clear compliance pathway while preserving room for innovation under supervisory scrutiny.

If the guidelines are adopted, brokerage firms will need to invest in audit trails, documentation, and staff training to meet the new standards, potentially raising operational costs across the sector. Smaller participants may face a disproportionate burden, prompting consolidation or strategic partnerships with technology providers. Investors could benefit from greater transparency, yet the transition period may see temporary volatility as firms adjust their trading algorithms to the new regime.