Unverified50% confidenceConceptExact time
In AI evaluation, 'auditable' means that the inputs, outputs, intermediate states, and system interventions of every decision are fully recorded, and the records can be independently verified.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIntent auditing makes agent behavior traceable and interpretable by recording and reviewing agents' decision-making chains.75% similarUnverifiedAny figures and policy citations provided by AI should be verified through official channels (such as the IRS website or the SEC database).75% similarUnverifiedA reliable invoice automation architecture can be divided into: invoice receipt, document extraction, data validation, ERP matching, exception review, and approval update, where AI handles interpretation while peripheral software handles validation, permission integration, and execution.74% similarUnverifiedAny automated decision that affects an individual's income, employment, credit, or access should be subject to a human review process by default.74% similarUnverifiedThe method for evaluating AI mentions is to run a fixed prompt panel, record a binary flag for whether a mention occurred, and repeat the test after model updates.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1011268API
curl https://kongchang.com/api/v1/knowledge/claims/1011268MCP
get_claim(id=1011268)