Unverified50% confidenceOpinionExact time
If the output of an AI tool cannot reconstruct "who made what judgment, when, and based on what input," it is difficult for it to be adopted as valid audit evidence.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedBefore using AI outputs in formal settings, key facts must be verified one by one, as attaching sources cannot fully eliminate hallucinations.78% similarUnverifiedWhen code volume exceeds the model's effective context window, AI may hallucinate, and its audit output must be cross-validated by human experts and cannot be used directly as audit conclusions.77% similarUnverifiedTakedown decisions based on AI often lack transparent and efficient appeal channels.77% similarUnverifiedIn historical document research, any discovery suggested by AI must be verified word by word against the original documents by human experts, and model outputs cannot be treated directly as conclusions.76% similarUnverifiedThe core factor determining whether an information source can be adopted by an AI assistant is not traditional authority but whether the information is clear enough to be extracted and cited.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1056412API
curl https://kongchang.com/api/v1/knowledge/claims/1056412MCP
get_claim(id=1056412)