001007861 001__ 1007861
001007861 005__ 20240311125731.0
001007861 0247_ $$2doi$$a10.1017/S0963180123000257
001007861 0247_ $$2ISSN$$a0963-1801
001007861 0247_ $$2ISSN$$a1469-2147
001007861 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-02223
001007861 0247_ $$2pmid$$a37190871
001007861 0247_ $$2WOS$$aWOS:001010547100001
001007861 037__ $$aFZJ-2023-02223
001007861 082__ $$a610
001007861 1001_ $$0P:(DE-Juel1)138795$$aHeinrichs, Jan-Hendrik$$b0
001007861 245__ $$aHammer or Measuring Tape? Artificial Intelligence and Justice in Healthcare
001007861 260__ $$aGetzville, NY$$bHeinOnline$$c2023
001007861 3367_ $$2DRIVER$$aarticle
001007861 3367_ $$2DataCite$$aOutput Types/Journal article
001007861 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1707888759_20286
001007861 3367_ $$2BibTeX$$aARTICLE
001007861 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001007861 3367_ $$00$$2EndNote$$aJournal Article
001007861 520__ $$aArtificial intelligence (AI) is a powerful tool for several healthcare tasks. AI tools are suited to optimize predictive models in medicine. Ethical debates about AI’s extension of the predictive power of medical models suggest a need to adapt core principles of medical ethics. This article demonstrates that a popular interpretation of the principle of justice in healthcare needs amendment given the effect of AI on decision-making. The procedural approach to justice, exemplified with Norman Daniels and James Sabin’s accountability for reasonableness conception, needs amendment because, as research into algorithmic fairness shows, it is insufficiently sensitive to differential effects of seemingly just principles on different groups of people. The same line of research generates methods to quantify differential effects and make them amenable for correction. Thus, what is needed to improve the principle of justice is a combination of procedures for selecting just criteria and principles and the use of algorithmic tools to measure the real impact these criteria and principles have. In this article, the author shows that algorithmic tools do not merely raise issues of justice but can also be used in their mitigation by informing us about the real effects certain distributional principles and criteria would create.
001007861 536__ $$0G:(DE-HGF)POF4-5255$$a5255 - Neuroethics and Ethics of Information (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001007861 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001007861 773__ $$0PERI:(DE-600)1499985-7$$a10.1017/S0963180123000257$$gp. 1 - 12$$p1 - 12$$tCambridge quarterly of healthcare ethics$$v16$$x0963-1801$$y2023
001007861 8564_ $$uhttps://juser.fz-juelich.de/record/1007861/files/Heinrichs%20Jan%20Hammer%20or%20measuring%20tape%20CQHCE.pdf$$yOpenAccess
001007861 909CO $$ooai:juser.fz-juelich.de:1007861$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001007861 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138795$$aForschungszentrum Jülich$$b0$$kFZJ
001007861 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5255$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001007861 9141_ $$y2023
001007861 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-03-30
001007861 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-03-30
001007861 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001007861 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2023-10-21$$wger
001007861 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCAMB Q HEALTHC ETHIC : 2022$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-21
001007861 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2023-10-21
001007861 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001007861 9801_ $$aFullTexts
001007861 980__ $$ajournal
001007861 980__ $$aVDB
001007861 980__ $$aUNRESTRICTED
001007861 980__ $$aI:(DE-Juel1)INM-7-20090406