# Building health-literate artificial intelligence - Nature *Источник: Nature* *Дата: 2026-09-15* *Язык: en* **Кратко:** Abstract This Perspective asks whether systems mediated by artificial intelligence (AI) can support health communication and health literacy rather than shifting interpretive burden onto users. We define health-literate AI as AI designed to align information, guidance and responsibility with users’ abilities, contexts and needs. Abstract This Perspective asks whether systems mediated by artificial intelligence (AI) can support health communication and health literacy rather than shifting interpretive burden onto users. We define health-literate AI as AI designed to align information, guidance and responsibility with users’ abilities, contexts and needs. We propose four interrelated components: comprehension, agency, accountability and proportionality. These components help distinguish systems that are merely accurate or explainable from systems designed to support users in understanding what matters, what uncertainties remain and what to do next. We argue that the principles of health-literate AI should inform design, evaluation, research and governance across health-relevant AI ecosystems, so that innovation supports understanding, informed action and institutional responsibility. Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 27,99 € / 30 days cancel any time Subscribe to this journal Receive 12 digital issues and online access to articles 118,99 € per year only 9,92 € per issue Buy this article 39,95 € Prices may be subject to local taxes which are calculated during checkout Similar content being viewed by others References - Afroogh, S., Akbari, A., Malone, E., Kargar, M. & Alambeigi, H. Trust in AI: progress, challenges, and future directions. Humanit. 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S.C.R. provided conceptual input on the Perspective. All authors contributed to the final argument and approved the submitted version. Corresponding author Ethics declarations Competing interests The authors declare no competing interests. Peer review Peer review information Nature Human Behaviour thanks the anonymous reviewers for their contribution to the peer review of this work. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. About this article Cite this article Ivic, R.K., Ratzan, S.C. & Parker, R.M. Building health-literate artificial intelligence. Nat Hum Behav (2026). https://doi.org/10.1038/s41562-026-02595-1 - Received: - Accepted: - Published: - Version of record: - DOI: https://doi.org/10.1038/s41562-026-02595-1 [Оригинал](https://www.nature.com/articles/s41562-026-02595-1)