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.
Frameworks that govern ai impact assessment
What the standards actually require on ai impact assessment
Requirements naming ai impact assessment across 4 standards, quoted from the control text.
Create and document (a) a risk management framework that addresses the specific characteristics and risks of AI systems; (b) organisation-level risk tolerance and criteria for acceptable and unacceptable risk in developing and deploying AI, including the signi...
australia-guidance-for-ai-adoption-2025::3.1.1 · 3.1.1 Create an AI risk management framework, risk criteria and assessment processes →For every in-scope AI use case the agency must carry out an impact assessment of the use case, begun at the design stage and finalised, with any agreed risk treatments applied, before the solution is deployed.
australia-policy-for-the-responsible-use-of-ai-in-government-version-2-0::4.2 · Conduct an AI use case impact assessment for every in-scope use case and apply treatments before deployment →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 →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
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