AI, Compliance, and the New Standard of Corporate Risk Management

Artificial intelligence is no longer a future risk. It is a current operational reality.

Organizations deploying AI systems face a convergence of regulatory, contractual, and reputational risks. These risks are often not fully captured within existing compliance frameworks.

Key considerations include:

• Data provenance and usage rights

• Model transparency and explainability

• Bias and disparate impact

• Vendor risk and third-party dependencies

Traditional compliance programs are not designed to address these issues at scale. Companies should evaluate whether existing governance structures adequately address AI-specific risks.

The organizations that will manage this transition effectively are those that integrate AI oversight into broader enterprise risk management frameworks, rather than treating it as a standalone issue.

Craig S. Gilgallon advises companies on regulatory compliance, governance, and emerging risk areas including artificial intelligence.