Also known as: AI Assurance Β· Artificial Intelligence Assurance
AI Assurance is the set of practices that provide justified confidence that an AI system works as intended in its operational context. It may include testing, evaluation, documentation, monitoring, audit, and other evidence-generating activities related to trustworthiness and claims made about the system.
AI assurance is the product of a set of informational and evaluative practices that can provide justified confidence that an AI system operates in context in a trustworthy fashion and as claimed. This definition draws from MITRE's use of the term 'justified confidence' (from international software assurance standards) and the UK Centre for Data Ethics and Innovation usage in its 'roadmap to an effective AI assurance ecosystem.'