AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare.
While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there are increasing promises regarding AI’s beneficial outputs and concerns about the challenges of human–computer interaction in healthcare. To address these concerns, institutions have increasingly resort...
| Publicado en: | Science & Engineering Ethics Vol. 30; no. 3; pp. 1 - 22 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=177662868&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 177662868 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Jun2024 vid: 30 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 177662868 10.1007/s11948-024-00486-0 ppf: 1 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.2MB tig: atl: AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare. aug: au: Arbelaez Ossa, Laura Milford, Stephen R. Rost, Michael Leist, Anja K. Shaw, David M. Elger, Bernice S. affil: https://ror.org/02s6k3f65 Institute for Biomedical Ethics, University of Basel, Basel, Switzerland https://ror.org/036x5ad56 Institute for Research on Socio-Economic Inequality (IRSEI) in the Department of Social Sciences, University of Luxembourg, Esch-Sur-Alzette, Luxembourg https://ror.org/02jz4aj89 Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands https://ror.org/01swzsf04 Center for Legal Medicine (CURML), University of Geneva, Geneva, Switzerland sug: keyword: AI ethics AI guidelines Artificial intelligence Ethics Guidelines Healthcare Regulations Regulatory affairs ab: While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there are increasing promises regarding AI’s beneficial outputs and concerns about the challenges of human–computer interaction in healthcare. To address these concerns, institutions have increasingly resorted to publishing AI guidelines for healthcare, aiming to align AI with ethical practices. However, guidelines as a form of written language can be analyzed to recognize the reciprocal links between its textual communication and underlying societal ideas. From this perspective, we conducted a discourse analysis to understand how these guidelines construct, articulate, and frame ethics for AI in healthcare. We included eight guidelines and identified three prevalent and interwoven discourses: (1) AI is unavoidable and desirable; (2) AI needs to be guided with (some forms of) principles (3) trust in AI is instrumental and primary. These discourses signal an over-spillage of technical ideals to AI ethics, such as over-optimism and resulting hyper-criticism. This research provides insights into the underlying ideas present in AI guidelines and how guidelines influence the practice and alignment of AI with ethical, legal, and societal values expected to shape AI in healthcare. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2024. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
|---|