Delegating the terminal evaluation to AI is self-defeating: each hand-off returns one more output someone must accept or not¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q1
Currency · newest study 2026 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q1 i? Vigilance is not strictly impossible to delegate but self-defeating to delegate: accepting a model's check unexamined is the absence of vigilance, and the unevaluated claim has only moved one step along. → Marcus Kubsch 2026

Evidence¶

Marcus Kubsch 2026¶

Marcus Kubsch. (2026). AI as a Partner in Learning about, Doing, and Engaging with Science: Vigilance as the Key to Productive Augmentation. https://arxiv.org/abs/2606.16822 doi:10.48550/arxiv.2606.16822

q1 · i? · theoretical · r2

Theoretical argument answering the objection that deep checking can itself be handed to the AI: a learner can ask a model to check a step or argue the other side, and chain judgments across models, but the regress stops only where a human accepts or rejects the returned output. Conceptual, no data.

"each hand-off returns one more output that someone must accept or not, and to accept it unexamined is not a thinner version of vigilance but its absence; the unevaluated claim has only moved one step along."

Discussion¶

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