Autonomous AI Research Makes the "Yuanqi (缘起) of Questions" a Genuine Question of Our Time

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Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-09-15
DOI
https://doi.org/10.17613/rqx10-2zx38
Primary Topic
Digital Education and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Autonomous AI Research Makes the "Yuanqi (缘起) of Questions" a Genuine Question of Our Time

Wanhong HUANG
Knowledge Commons (Lakehead University)
Digital Education and Society
article

Autonomous AI Research Makes the "Yuanqi (缘起) of Questions" a Genuine Question of Our Time

Wanhong HUANG
article en

Abstract

Artificial intelligence is increasingly capable of performing research workflows that extend from idea generation and literature search to experimentation, analysis, manuscript production, and review. This development makes a previously backgrounded epistemic question newly visible: before an inquiry can be answered, how does a question come to arise at all? This commentary distinguishes the yuanqi (缘起) of a question—its historically situated emergence through relations, conditions, encounters, contingencies, and forms of lived concern—from both the subsequent process of inquiry and its terminal artifact. Human questions often emerge within particular histories, places, relationships, encounters, affects, contingencies, and forms of lived concern. Dialogical and narrative forms in philosophy and religious traditions can preserve such conditions rather than merely decorate detachable propositions. Journalism likewise depends not only on what is eventually reported, but on where inquiry begins, who encounters whom, which relation makes a phenomenon salient, and how an initial interpretation develops. Autonomous AI research does not invalidate these structures; rather, it makes their comparison urgent. The relevant distinction is not a metaphysical opposition between "existential" humans and "mechanical" machines, but the genealogy through which a question becomes worth asking for a given epistemic agent or system. The commentary argues that, as answers and even research questions become increasingly automatable, knowledge institutions should attend more carefully to the spatiotemporal, relational, contingent, and existential provenance of inquiry, and to forms of record capable of preserving the conditions under which later understanding can be regenerated.

Knowledge Commons (Lakehead University)
Creative Commons (US)
Quality Education
Openalex Percentile: Top 4%
Digital Education and Society
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