A context-specific analysis of ethical principles relevant for AI-assisted decision-making in health care

Author:

Schlicht Larissa,Räker Miriam

Abstract

AbstractArtificial intelligence (AI)-assisted technologies may exert a profound impact on social structures and practices in care contexts. Our study aimed to complement ethical principles considered relevant for the design of AI-assisted technology in health care with a context-specific conceptualization of the principles from the perspectives of individuals potentially affected by the implementation of AI technologies in nursing care. We conducted scenario-based semistructured interviews focusing on situations involving moral decision-making occurring in everyday nursing practice with nurses (N = 15) and care recipients (N = 13) working, respectively, living in long-term care facilities in Germany. First, we analyzed participants’ concepts of the ethical principles beneficence, respect for autonomy and justice. Second, we investigated participants’ expectations regarding the actualization of these concepts within the context of AI-assisted decision-making. The results underscore the importance of a context-specific conceptualization of ethical principles for overcoming epistemic uncertainty regarding the risks and opportunities associated with the (non)fulfillment of these ethical principles. Moreover, our findings provide indications regarding which concepts of the investigated ethical principles ought to receive extra attention when designing AI technologies to ensure that these technologies incorporate the moral interests of stakeholders in the care sector.

Funder

Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA)

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference72 articles.

1. Organisation for Economic Co-Operation and Development: Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449. https://legalinstruments.oecd.org/en/instruments/oecd-legal-0449 (2019). Accessed 10 Nov 2022

2. Parker, S.K., Grote, G.: Automation, algorithms, and beyond: why work design matters more than ever in a digital world. Appl. Psychol. 71(4), 1171–1204 (2022). https://doi.org/10.1111/apps.12241

3. Bicchieri, C., Muldoon, R., Sontuoso, A.: Social norms. In: Zalta, E. (ed.) The Stanford Encyclopedia of Philosophy (Winter 2018 ed.). Metaphysics Research Lab, Stanford University. https://plato.stanford.edu/entries/social-norms (2018). Accessed 15 Nov 2022

4. Brey, P.: Values in technology and disclosive computer ethics. In: Floridi, L. (ed.) The Cambridge Handbook of Information and Computer Ethics, pp. 41–58. Cambridge University Press, Cambridge (2009)

5. Buchanan, C., Howitt, M.L., Wilson, R., Rooth, R.G., Risling, T., Bambford, M.: Predicted influences of artificial intelligence on the domains of nursing: scoping review. JMIR Nurs. (2020). https://doi.org/10.2196/23939

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3