34-Item Bias Audit Checklist
Structured checklist covering data bias, model fairness, deployment risks, and outcome monitoring across all AI lifecycle stages.
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Supported frameworks include: EU AI Act, NIST AI RMF, ISO 42001, GDPR, UK GDPR, CCPA/CPRA, DPDPA, APPI, PIPL, PDPA, LGPD, POPIA
What you get
A single generation produces a complete, structured bias audit — not a checklist of gaps to fill, but an actionable framework ready for your governance team.
Structured checklist covering data bias, model fairness, deployment risks, and outcome monitoring across all AI lifecycle stages.
Methodology for testing demographic parity, equalised odds, and individual fairness — mapped to your sector's risk profile.
Named accountability chain from board to model owner, with sign-off checkpoints and escalation paths for bias incidents.
Scheduled bias re-evaluation cadence, drift detection triggers, and a structured remediation workflow for identified issues.
Each AI system tiered by bias risk — Unacceptable / High / Limited / Minimal — with applicable testing controls per tier.
EU AI Act Article 10 data requirements, NIST AI RMF bias guidance, and jurisdiction-specific anti-discrimination laws woven throughout.
Clear ownership for bias testing, model validation, and audit sign-off — from data scientists to compliance leads and the board.
Explicit list of approved AI applications and use cases where bias risk is considered unacceptable for your organisation and sector.
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Full disclaimer
Not legal advice
This document does not constitute legal advice and must not be relied upon as such. Consult a qualified legal professional before implementing or relying on this document in whole or in part.
Regulation currency
Laws, regulations, and guidance cited are subject to change. Content reflects the position as at the date of generation and may not account for subsequent amendments, enforcement decisions, or judicial interpretations.
Proposed legislation
Where proposed or draft legislation is referenced — including the EU AI Liability Directive — such references describe legislation that has not been enacted. Its final form, scope, timing, and territorial application remain unconfirmed.
AI output limitations
AI output can contain errors or omissions. Do not rely on this document as a complete statement of your legal obligations or as a substitute for specialist compliance advice.
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