AI Bias Auditor

The AI Bias Auditor helps organizations identify and evaluate potential bias in an AI solution before it affects people, decisions, or outcomes. Designed for AI project owners, business teams, governance teams, and others responsible for AI oversight, it provides a structured way to examine data, outputs, affected groups, decision processes, and safeguards for potential sources of unfair or unintended bias.

Use it when evaluating or testing an AI solution and periodically as its use expands or changes. The completed checklist helps document concerns, identify areas requiring further review, and determine appropriate actions or safeguards. This AI Adoption Lab activity supports responsible AI adoption and the Guardrail and Govern stages of the Strategic AI Adoption Framework (SAAF) within the Unified AI Adoption Model.

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