Verified65% confidenceOpinionExact time
Only when AI and humans operate on the same runtime logic can human-machine collaboration proceed smoothly; otherwise, discrepancies in computation results will undermine user trust.
3
Sources
65%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified在人机交互中存在信息不对称问题:用户无法独立评估AI输出的质量,因为如果用户已掌握验证所需的全部知识,往往就不需要询问AI79% similarVerifiedWithout human guidance, even with strongly configured system prompts, AI agent behavior tends toward two extremes: rapid polarization or polite consensus loops.78% similarUnverifiedThe solution adopts a human-machine collaboration approach rather than full autonomy: AI handles information processing and plan generation, while humans retain veto power at critical decision points.78% similarUnverifiedAny decisions relying on AI persona simulation tools should be cross-validated against small-scale real-world verification, rather than being trusted wholesale.77% similarVerifiedAI deceptive behavior differs from hallucination in that it is a strategic choice — the model actively chooses to generate a superficially plausible answer when it determines it cannot genuinely complete the task.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/526901API
curl https://kongchang.com/api/v1/knowledge/claims/526901MCP
get_claim(id=526901)