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AI assurance
also artificial intelligence assurance or AI system assurance
Definition of AI assurance
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: the collection, evaluation, and communication of evidence about whether an AI system works as intended and is sufficiently trustworthy, safe, secure, fair, or compliant for a particular use
- The hospital required independent AI assurance before allowing the diagnostic system to influence clinical decisions.
- AI assurance combined technical testing, an impact assessment, documentation, human oversight, and continuous monitoring after deployment.
Two meanings, one word
In everyday English
Assurance is confidence, often supported by evidence or an independent check, that something meets its stated requirements.
In AI
The collection, evaluation, and communication of evidence about whether an AI system works as intended and is sufficiently trustworthy, safe, secure, fair, or compliant…
Origin & history
Assurance practices originated in fields such as accounting, quality management, safety engineering, and cybersecurity. The expression AI assurance became established in the early 2020s as governments, standards bodies, researchers, and specialist evaluators developed ways to provide evidence that AI systems are dependable and appropriately governed. The United Kingdom began promoting an AI assurance ecosystem in 2021, and NIST researchers published a proposed path toward formalizing artificial intelligence assurance in 2022.
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Which of these is the meaning of AI assurance?
Cite this entry
"AI assurance." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/ai-assurance/. Accessed 12 Oct. 2026.