Unverified50% confidenceSolutionExact time
Combining confidence with 'whether the field is empty' as a gating condition can intercept most AI misjudgments at the process level, handing uncertain cases over to humans.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe "AI proposes, human reviews" organization model can avoid the risk of misclassification from automated organization, keeping the final decision in the user's hands.80% similarUnverifiedPractical questions for judging whether an AI solution is reliable include whether the team has a monitoring mechanism for hallucinations and a degradation strategy when errors occur, and the absence of these questions is itself an indicator of rhetorical packaging.78% similarUnverified在关键业务流程中使用AI时必须保留人工审核或多重验证机制，不应盲目信任任何标称最高推理级别的模型输出78% similarUnverifiedIn the field of AI safety, 'being able to report gaps' is often called honesty or calibration; a model that only pursues 'always answering when asked' tends to fill in blanks with plausible guesses when facing missing information, and this is precisely the source of hallucinations.78% similarUnverifiedWhen testing AI systems with tool-use and code-execution capabilities, strict sandbox isolation and least-privilege control strategies should be adopted, and there should be no direct communication channel between the execution environment of the model under test and the environment running the evaluation logic.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1024574API
curl https://kongchang.com/api/v1/knowledge/claims/1024574MCP
get_claim(id=1024574)