Examples
Worked examples
- Is an instance
A third-party AI-assurance provider certifying a recruitment model against bias-audit standards.
- Is an instance
A government procurement requiring AI-assurance documentation as a tender condition.
Counter-examples
Looks similar, but isn't
- Not an instance
A self-reported model card with no third-party verification.
- Not an instance
A pure cybersecurity penetration test.
Editorial commentary
AI assurance is the emerging discipline that translates AI-ethics principles into evidentiary artefacts. The UK Government published a 'Roadmap to an effective AI assurance ecosystem' (2021). Mechanisms include third-party audit, internal audit, conformity assessment, performance testing, and impact assessment. AI assurance overlaps with cyber assurance and financial-services model risk management.
References
- Centre for Data Ethics and Innovation, 'The roadmap to an effective AI assurance ecosystem' (2021); UK AI Standards Hub.
Also known as
AI assurance ecosystem
Machine-readable encodings
Use in your systems
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