Verified85% confidenceFactExact time
The deviation between an AI system's execution objective and the designer's true intent is classified in AI safety research as Goal Misalignment.
5
Sources
85%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
Loop Engineering:无人监管的AI循环为何危机四伏
Related Claims
Unverified在AI安全领域,失准指模型的实际行为偏离设计者或使用者意图的现象,当代大模型的失准更多表现为目标过度追求81% similarVerifiedAI Agent errors have semantic plausibility—each step appears reasonable but in combination drifts from the original goal—making post-hoc log-based troubleshooting more complex than with traditional systems.80% similarVerifiedThe core challenges of AI alignment include goal misalignment, lack of interpretability, and capability generalization risks.80% similarUnverified目标对齐问题在学术界被细分为外部对齐(确保AI目标反映人类真实意图)和内部对齐(确保AI内部学到的目标与训练目标一致)两个子问题79% similarUnverifiedAI摘要在安全场景失效的深层原因是优化目标与信息论重要性之间的错位,混淆了信息频率与信息重要性78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/561509API
curl https://kongchang.com/api/v1/knowledge/claims/561509MCP
get_claim(id=561509)