Impact Assessment

Impact assessment is a systematic process of identifying and evaluating the potential effects of AI systems on individuals, organizations, and society before, during, and after deployment. In enterprise AI governance, impact assessments help organizations anticipate harms related to bias, privacy, security, and operational disruption, enabling them to implement appropriate safeguards and mitigation strategies. This practice is increasingly required by regulatory frameworks like the EU AI Act and supports responsible AI development by ensuring that risks are understood and addressed proactively.

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ResearchGlobal2026-06-15

S&P Global Report Frames AI Governance as a Principle-Based Risk Discipline, Raising the Bar for Enterprise Compliance Programs

S&P Global has published a research report titled 'The AI Governance Challenge,' arguing that enterprise AI governance should be anchored in five core principles: transparency, fairness, privacy, adaptability, and accountability. The report documents common organizational practices including ethical review boards, impact assessments, algorithmic transparency mechanisms, and risk-focused controls. Its findings map directly to compliance, model governance, and privacy programs across industries.

AI governance risk management impact assessment accountability transparency