A Framework Aged Well: Principlism in the Era of Artificial Intelligence.
This article examines the influence of Beauchamp and Childress' Principles of Biomedical Ethics—respect for patient autonomy, beneficence, non-maleficence, and justice—on bioethics and clinical practice, highlighting their longstanding role as a practical framework for ethical decision-making in hea...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 3; pp. 62 - 65 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192252870&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192252870 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15265161 FKZ jtl: American Journal of Bioethics issn: 15265161 maglogo: N pubinfo: dt: Mar2026 vid: 26 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 192252870 10.1080/15265161.2026.2623865 192252870 ppf: 62 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Framework Aged Well: Principlism in the Era of Artificial Intelligence. aug: au: Meier, Lukas J. Hein, Alice Diepold, Klaus Buyx, Alena affil: Technical University of Munich sug: subj: Artificial Intelligence Ethical Issues Bioethics Decision Making, Ethical Ethics, Medical Physician-Patient Relations Machine Learning Ethical Issues Artificial Intelligence, Generative Ethical Issues ab: This article examines the influence of Beauchamp and Childress' Principles of Biomedical Ethics—respect for patient autonomy, beneficence, non-maleficence, and justice—on bioethics and clinical practice, highlighting their longstanding role as a practical framework for ethical decision-making in healthcare. It explores the adaptation of these principles, known as principlism, for implementation in artificial intelligence (AI), particularly in medical settings, where principlism’s flexibility and transparency support algorithmic ethical reasoning better than other moral theories. The article reviews pioneering AI applications such as the MedEthEx and METHAD algorithms, which operationalize principlism to address complex ethical dilemmas, and discusses the potential and challenges of integrating principlism into generative AI models like large language models. While principlism offers a promising mid-level abstraction for guiding AI ethics, concerns remain about AI’s tendency toward post-hoc rationalization and alignment with user preferences rather than genuine ethical reasoning, underscoring the need for careful oversight as principlism enters the era of machine intelligence. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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