Epistemic Dilemmas and the Metaphysics of Power in an AI Era: A Preliminary Inquiry

Institutional assessments of capacity and authority rely in part on portable indicators, including qualifications, publicly recognized outputs, monetary claims, and organizational positions. AI-mediated production can broaden the range of histories compatible with similar observable expressions, complicating inferences from particular outputs to historical contribution or prospective capacity. Situated observation, shared practice, and co-experience provide additional avenues to relational knowledge; their reach is constrained by finite time, attention, access, consent, and interpretive resources. This preliminary inquiry develops a context-dependent conception of generative-relational power as feasible influence over developmental transitions and the operative conditions of further action. It investigates when such capacities admit preorder or quotient partial-order comparisons while suspending judgment on the ontological primacy of these representations. It also examines how evaluative criteria and institutional allocations can alter future opportunities, producing recursive forms of meta-power. The argument distinguishes observable achievement, generative capacity, institutional recognition, and legitimate authority. Conditional AI-intensive scenarios and an empirical research programme clarify the framework's scope, possible uses, and limits.

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Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-10-31
DOI
https://doi.org/10.17613/8qqv3-wba37
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Epistemic Dilemmas and the Metaphysics of Power in an AI Era: A Preliminary Inquiry

Wanhong HUANG
Knowledge Commons (Lakehead University)
Ethics and Social Impacts of AI
article

Epistemic Dilemmas and the Metaphysics of Power in an AI Era: A Preliminary Inquiry

Wanhong HUANG
article en

Abstract

Institutional assessments of capacity and authority rely in part on portable indicators, including qualifications, publicly recognized outputs, monetary claims, and organizational positions. AI-mediated production can broaden the range of histories compatible with similar observable expressions, complicating inferences from particular outputs to historical contribution or prospective capacity. Situated observation, shared practice, and co-experience provide additional avenues to relational knowledge; their reach is constrained by finite time, attention, access, consent, and interpretive resources. This preliminary inquiry develops a context-dependent conception of generative-relational power as feasible influence over developmental transitions and the operative conditions of further action. It investigates when such capacities admit preorder or quotient partial-order comparisons while suspending judgment on the ontological primacy of these representations. It also examines how evaluative criteria and institutional allocations can alter future opportunities, producing recursive forms of meta-power. The argument distinguishes observable achievement, generative capacity, institutional recognition, and legitimate authority. Conditional AI-intensive scenarios and an empirical research programme clarify the framework's scope, possible uses, and limits.

Knowledge Commons (Lakehead University)
Openalex Percentile: Top 8%
Ethics and Social Impacts of AI
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Epistemic Dilemmas and the Metaphysics of Power in an AI Era: A Preliminary Inquiry — Wanhong HUANG · Knowledge Commons (Lakehead University) (2026) | TGRS Research Map | TGRS