What Is AI Assurance?
AI Assurance is the set of techniques — audits, testing, certification, impact assessments — used to build justified confidence that an AI system is trustworthy.
AI Assurance — the set of techniques — audits, testing, certification, impact assessments — used to build justified confidence that an AI system is trustworthy.
AI assurance is the practical ecosystem of ways to check and evidence that a system does what it should: independent audits, conformity assessments, red-teaming, bias testing, and impact assessments. The UK in particular has framed an "AI assurance ecosystem" as central to making trustworthy AI verifiable rather than merely asserted.
Source: UK AI assurance roadmap (DSIT)
Plain-language explanation
AI assurance is the practical ecosystem of ways to check and evidence that a system does what it should: independent audits, conformity assessments, red-teaming, bias testing, and impact assessments. The UK in particular has framed an "AI assurance ecosystem" as central to making trustworthy AI verifiable rather than merely asserted.
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