Unverified50% confidenceFactExact time
A safety hold is an evaluation buffer period that AI labs proactively establish after a model is technically ready for release but before its official public launch, encompassing red-team testing and compliance review.
1
Sources
50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
Related Entities
Related Claims
Unverified现代AI安全评估通常包括红队测试、偏见审计、对抗性测试以及社会影响评估,这些流程通常需要数周到数月的时间74% similarUnverifiedTraditional model safety evaluations are often one-time events, deploying the model after conducting red-team testing or benchmark evaluations before launch73% similarVerifiedAI labs independently design their own red-team tests and publish safety reports with differing methodologies, test sets, and scoring criteria, resulting in benchmark fragmentation.71% similarUnverified发布前拦截的回归数是易于非技术人员理解的AI质量指标,对应AI工程中的质量门禁(Quality Gates)机制71% similarUnverifiedIn the AI context, runtime safety means monitoring every model inference and every tool call to detect whether outputs comply with preset policy constraints69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/960017API
curl https://kongchang.com/api/v1/knowledge/claims/960017MCP
get_claim(id=960017)