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Rethinking Intelligence Power and Epistemic Authority in the Age of Superhuman AI

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The study reveals that prevailing concepts of intelligence focus on optimization and control, marginalizing other perspectives.
Critical discourse analysis of texts from major AI labs exposes a narrow view that reinforces Western-centric benchmarks.
The research combines twenty semi-structured interviews with AI professionals, highlighting the need for pluralistic approaches.
Proposed changes advocate for inclusive evaluation metrics and governance structures, aiming to enhance public trust and equity.

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Mixed-methods analysis explores how AI governance constructs intelligence, suggesting the need for diverse frameworks and values.

Achi Iseko (2025) studied this question.

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