AI Audit
What is AI Audit?
A systematic examination of AI systems to evaluate their fairness, transparency, safety, security, and compliance with applicable regulations.
Terms that appear alongside ai audit
Each of these is named in at least one of the same controls as ai audit. The number is how many controls name both.
- audit 3 shared controls
- accountability 2 shared controls
- governance 2 shared controls
- transparency 2 shared controls
- nist 2 shared controls
- certification 2 shared controls
- eu ai act 2 shared controls
- gdpr 2 shared controls
Frameworks that govern ai audit
What the standards actually require on ai audit
Requirements naming ai audit across 2 standards, quoted from the control text.
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 →Clause 9 establishes transparency and communication. Per public IEEE 7000-2021 abstract + Wikipedia + academic literature (full IEEE text NOT reproduced): transparency throughout VBE process + transparency artifacts including: system documentation (purpose + s...
IEEE7000-Transparency-Communication-Documentation-ExternalReview-Audit · IEEE 7000 Clause 9 - Transparency + Communication + Process Documentation + External Review + Third-Party Audit + AI Documentation + Algorithmic Transparency + User Notification →Questions people ask about ai audit
What is AI Audit?
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See how AI Audit applies across compliance frameworks
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