Unverified50% confidenceOpinionExact time
Schwartz's practice points to a macro judgment: the effective use of AI in science requires redesigning the collaboration interface, rather than simply inserting AI into existing human workflows.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAI scientific research tools excel at handling repetitive and mechanical work, but true scientific innovation still relies on the professional judgment of researchers.75% similarUnverifiedAI should be assigned mechanical, verifiable, low-creativity work, while core thinking, judgment, and innovation are left to the researchers themselves.75% similarVerified在逆向工程中,AI提效的基础是人已经完成参数定位工作,AI放大已有能力而非凭空创造能力74% similarVerifiedBen Shneiderman proposed "human-centered AI," emphasizing that AI should augment rather than replace human capabilities.74% similarUnverifiedAI is better suited for initial screening and assistance in hardware reverse engineering rather than end-to-end replacement, which is the view of the cautious faction in the community.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1055553API
curl https://kongchang.com/api/v1/knowledge/claims/1055553MCP
get_claim(id=1055553)