Artificial intelligence literacy in health professions education: from faculty readiness to culturally responsive AI governance

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Integrating artificial intelligence literacy into health professions education requires a comprehensive approach spanning from faculty readiness to culturally responsive AI governance. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Marilou B. Adora; Jemille P. Garica; Christina L. Ammakiw; Nellie B. Apatas; Gringo S. Serion; Pinky Larcelle L. Gas-ib

doi:10.1016/j.edumed.2026.101231

August 29, 2026Educación MédicaOpen Access

Artificial intelligence literacy in health professions education: from faculty readiness to culturally responsive AI governance

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Key Points

Address the integration of artificial intelligence literacy into health professions curricula by examining faculty readiness and establishing culturally responsive institutional governance.
Analyzed pedagogical frameworks and institutional structures necessary for incorporating artificial intelligence competencies into healthcare curricula.
Evaluated educational readiness requirements for faculty and models of culturally responsive technology oversight.
Identified faculty digital preparedness and algorithmic literacy as critical foundations for curriculum reform in health sciences.
Demonstrated that culturally responsive governance models are necessary to prevent algorithmic bias and support equitable healthcare delivery.

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Implication

Conceptual analysis examines artificial intelligence literacy and faculty readiness in health professions education, highlighting the need for culturally responsive governance.

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Cite This Study

Adora et al. (2026) studied this question.

synapsesocial.com/papers/6a954223f20e493292a74405 https://doi.org/10.1016/j.edumed.2026.101231

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Artificial intelligence literacy in health professions education: from faculty readiness to culturally responsive AI governance

Key Points

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Artificial intelligence literacy in health professions education: from faculty readiness to culturally responsive AI governance

Key Points

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Implication

Abstract

Discussion

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