Confidence Score
A number an agent or interface displays alongside an output, intended to communicate how certain the system is. A confidence score with no stated evaluation methodology behind it functions as an implicit overstatement, because a user has no way to check what the number is actually measuring or whether it has been validated against real outcomes.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Agentic AI Governance: Applied Mastery.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A number an agent or interface displays alongside an output, intended to communicate how certain the system is. A confidence score with no stated evaluation methodology behind it functions as an implicit overstatement, because a user has no way to check what the number is actually measuring or whether it has been validated against real outcomes.
A numerical measure of how strongly a model's pattern matched; indicates pattern-match strength, not real-world accuracy.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- How AI Actually Works: Algorithms, Data, and Training · AI Fundamentals, AI Literacy & Professional Conduct
- Disclosure That Holds Up · End-User Responsibility, Agentic AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.