AI Risk Program

An AI risk program is a structured organizational initiative that identifies, assesses, and mitigates risks arising from the development, deployment, and use of artificial intelligence systems. It encompasses governance frameworks, technical controls, and operational procedures to address risks such as model bias, data quality issues, security vulnerabilities, and unintended harmful outcomes. For enterprises, a mature AI risk program is essential for regulatory compliance, protecting brand reputation, ensuring responsible AI use, and maintaining stakeholder trust while enabling innovation.

1 item

ResearchGlobal2026-07-24

S&P Global Identifies Five Governance Principles That Should Anchor Every Enterprise AI Risk Program

S&P Global has published a research report titled 'The AI Governance Challenge' identifying transparency, fairness, privacy, adaptability, and accountability as the five core principles that should structure enterprise AI governance programs. The report is addressed to enterprise risk and compliance leaders and offers design guidance for documentation standards, bias review processes, privacy impact assessments, and accountability structures. It carries no regulatory force but reflects an emerging market consensus from a recognized financial intelligence institution.

S&P Global enterprise governance fairness accountability transparency privacy AI risk program governance framework