Can a Human Be Said to Be More Objective and Sincere Than AI? The Delegation of Self-Analysis and the Epistemic Outside
Year: 2026
Type: preprint
Abstract: This N=1 research note examines a researcher’s delegation of self-analysis to an AI system involved in his interdisciplinary work. The AI initially proposed an independent human assessor as a benchmark. The researcher objected that the assessor’s disciplinary position, knowledge of the author and possible AI use could affect the assessment. In a second exchange, the AI classified the researcher’s publications as AI-centred. The researcher challenged that classification using accepted papers on human enhancement and the right to remain unread, prompting a revision based on each paper’s research question. These exchanges show how an AI participant’s evaluative criteria were challenged and revised. They raise a methodological question about treating human assessors as independent by virtue of their status. The concept of Epistemic Outside (Yamada, 2026a) specifies a stricter counterfactual condition, which remains an open question in this case.
Author: Yamada, Kenji
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225451173