Unverified50% confidenceDecision RuleExact time
When the AI model is well-trained and the human-AI misalignment has a clear structure, CARE can more effectively reduce the number of human queries
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
Unverified将 AI 用于减少健康数据录入摩擦而非替代专业判断，可发挥大模型的自然语言优势同时规避医疗合规风险80% similarUnverifiedIn high-stakes scenarios with low error tolerance, a human-machine collaboration model of AI pre-screening plus human final review is more sustainable than full automation.79% similarUnverifiedWhen AI auto-categorization and action-item extraction makes errors, the cost can be higher than manual organization78% similarUnverifiedWhile lowering costs, generative AI naturally tends to produce the most common styles found in its training data.78% similarUnverified在AI协作场景下越清晰的PRD越能让AI减少误解、提高代码的一次命中率77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/986998API
curl https://kongchang.com/api/v1/knowledge/claims/986998MCP
get_claim(id=986998)