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AI Impact Assessment

AI Governance

This glossary entry explains AI Impact Assessment for AI governance and model risk programs. The sections below summarize what the term means in plain language, why chief AI officers and cross-functional committees track it, where teams often get confused, and—when you are signed in—how it shows up across major industries and in expectations tied to the EU AI Act and NIST AI RMF. Use related links at the end of the page to explore neighboring concepts without losing context.

What It Means

An AI Impact Assessment is like a comprehensive safety check you run before launching any AI system in your organization. It systematically examines how the AI could affect your customers, employees, business operations, and the broader community, then identifies potential risks and creates plans to address them.

Why Chief AI Officers Care

This assessment is becoming a regulatory requirement in many jurisdictions and helps you avoid costly legal issues, reputational damage, and operational failures. It also demonstrates to stakeholders that you're deploying AI responsibly, which is increasingly important for maintaining customer trust and investor confidence.

Real-World Example

Before deploying an AI-powered hiring tool, you would assess whether it might discriminate against certain demographic groups, how it could impact your company's diversity goals, what data privacy risks exist, and how rejected candidates might be affected - then create safeguards like bias testing and human oversight processes.

Common Confusion

Many organizations think this is just a technical audit of the AI's accuracy, but it's actually a broader business and social impact analysis that includes ethical, legal, and societal considerations beyond just whether the AI works correctly.

Industry-Specific Applications

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See how this term applies to healthcare, finance, manufacturing, government, tech, and insurance.

Healthcare: In healthcare, AI Impact Assessments are crucial for evaluating how AI systems could affect patient safety, clinical dec...

Finance: In finance, AI Impact Assessments are crucial for evaluating algorithmic trading systems, credit scoring models, and fra...

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  • Real compliance scenarios
  • Implementation guidance
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