Proposal: shareable chat logs to gauge human contribution in AI-written papers

kfountou · x · 2026-10-06

Mathematician Tim Gowers argues that with AI-generated scientific papers proliferating, human refereeing of all of them is impossible — we need pre-reading signals of value, such as the time an author spent. Responder kfountou proposes a concrete mechanism: authors submit their model interactions via shareable links, and independent agents or humans evaluate the level of human involvement. If the interactions are mostly 'try harder' or 'continue', it becomes clearer how much credit the human author deserves.

The exchange touches a core problem of AI-era academia: identifying genuine human intellectual contribution amid a flood of AI-assisted papers.

Related event: Fields Medalist Gowers Calls for Signals to Identify AI Papers Worth Reading(2 posts)→

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