The CCI’s AI Self-Audit Push Creates New Board Liability Areas

The Competition Commission of India has issued guidance advising enterprises to conduct self-audits on AI tools to identify potential competition law violations. The guidance comes as the regulator anticipates increased adoption of AI systems that could facilitate price coordination, market manipulation, or abuse of dominant positions.

The circular requires companies to assess whether their AI systems could enable anti-competitive practices, even inadvertently. This includes algorithmic pricing tools that might facilitate tacit collusion, recommendation systems that could foreclose market access for competitors, and data aggregation tools that might create unfair competitive advantages.

What the guidance doesn’t specify is the liability framework for boards when these self-audits reveal potential violations. The CCI has positioned this as preventive compliance, but the discovery process itself could trigger disclosure obligations that boards are not prepared for.

The timing suggests regulatory concern about AI systems operating beyond traditional competition law frameworks. Unlike conventional cartel investigations that focus on deliberate coordination, AI-driven violations can emerge from algorithmic behavior that companies may not fully understand or control.

The self-audit requirement effectively shifts the burden of surveillance from the regulator to the companies themselves. Boards now face the uncomfortable position of actively searching for potential violations in systems they may have approved without full competitive impact assessment. The guidance creates a documentation trail that could complicate future defense strategies if investigations do emerge.

Missing from the circular is any safe harbor provision for companies that conduct these audits in good faith. The CCI has not indicated whether voluntary disclosure of potential issues through these audits would lead to reduced penalties or whether the audit findings could instead become evidence in enforcement proceedings.

My Boardroom Takeaway

Directors should consider treating AI governance as a distinct board committee responsibility rather than folding it into existing IT or risk oversight. The self-audit requirement creates potential conflicts between compliance transparency and legal privilege that boards may want to address through specialized external counsel before beginning these assessments.