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AI Impact Assessment

What is AI Impact Assessment?

A systematic evaluation of the potential effects of an AI system on individuals, groups, and society. AI impact assessments examine risks related to fairness, privacy, safety, transparency, and human rights.

AI & Technology

Frameworks that govern ai impact assessment

GDPRView framework →ISO 27001:2022View framework →EU AI ActView framework →

What the standards actually require on ai impact assessment

Requirements naming ai impact assessment across 2 standards, quoted from the control text.

NIST AI 600-1: Generative AI Profile1 control

Apply MAP function per NIST AI RMF 1.0 + NIST AI 600-1 supplements including: pre-deployment evaluation against the 12 GAI risk categories + use case mapping + intended use + foreseeable misuse + stakeholder identification + sociotechnical impact assessment +...

NISTAI600-3 · Map - Pre-Deployment Evaluation and Use Case Mapping →
OECD AI Principles1 control

Operate third-party AI audit + impact assessments + metrics per OECD AI Principles + emerging assurance standards. Third-party AI audit must (a) engage independent assessors for high-risk AI systems per applicable regulation + voluntary assurance scheme (EU AI...

OECDAI-7 · Third-Party AI Audit, Impact Assessments, and Metrics for Trustworthy AI →

Questions people ask about ai impact assessment

What is AI Impact Assessment?
A systematic evaluation of the potential effects of an AI system on individuals, groups, and society. AI impact assessments examine risks related to fairness, privacy, safety, transparency, and human rights.
Why is AI Impact Assessment important for compliance?
AI Impact Assessment is a key concept in AI & Technology. Understanding ai impact assessment helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address AI Impact Assessment?
AI Impact Assessment appears in the requirement text of NIST AI 600-1: Generative AI Profile, OECD AI Principles. Across these standards we have identified 2 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Impact Assessment?
Explore our compliance framework pages to see how ai impact assessment applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how AI Impact Assessment applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

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Written and maintained by Gerard Blokdyk, The Art of Service.