Beyond Ethics-Based Initiatives for Mitigating Bias in Machine Learning Models: An Integrated Ethics by Design Framework.
The article discusses the importance of implementing an "Ethics by Design" (EbD) framework in the development of machine-learning models for medical applications, particularly to mitigate bias and uphold ethical standards. It emphasizes the need for clearly defined AI ethics principles that encompas...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 2; pp. 120 - 124 |
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| Autor principal: | |
| Formato: | commentary tables/charts Journal Article |
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Taylor & Francis Ltd
Feb2026
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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=191515264&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191515264 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15265161 FKZ jtl: American Journal of Bioethics issn: 15265161 maglogo: N pubinfo: dt: Feb2026 vid: 26 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 191515264 191515264 191515264 10.1080/15265161.2025.2608619 191515264 ppf: 120 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Beyond Ethics-Based Initiatives for Mitigating Bias in Machine Learning Models: An Integrated Ethics by Design Framework. aug: au: Ménard, Timothé affil: F. Hoffmann-La Roche AG sug: subj: Machine Learning Ethical Issues Sepsis Diagnosis Social Determinants of Health Bioethics Artificial Intelligence Ethical Issues Ethics, Medical Autonomy Ethicists Software Design Ethical Issues Decision Support Systems, Clinical Accountability Conceptual Framework Organizational Culture ab: The article discusses the importance of implementing an "Ethics by Design" (EbD) framework in the development of machine-learning models for medical applications, particularly to mitigate bias and uphold ethical standards. It emphasizes the need for clearly defined AI ethics principles that encompass fairness, transparency, and accountability, and advocates for the integration of ethicists and developers throughout the AI development process. The article also highlights the role of Ethics Value Leads (EVLs) in bridging technical development and ethical oversight, and suggests establishing a centralized AI ethics governance body to oversee ethical considerations. Overall, the proposed EbD framework aims to create ethically resilient medical AI systems that prioritize patient-centric values and address complex ethical dilemmas beyond bias mitigation. pubtype: Academic Journal doctype: commentary tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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