A moral analysis of intelligent decision-support systems in diagnostics through the lens of Luciano Floridi's information ethics.
Contemporary medical diagnostics has a dynamic moral landscape, which includes a variety of agents, factors, and components. A significant part of this landscape is composed of information technologies that play a vital role in doctors' decision-making. This paper focuses on the so-called Intelligen...
| Publicado en: | Human Affairs Vol. 31; no. 2; pp. 149 - 165 |
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| Formato: | Artículo |
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De Gruyter
2021
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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=hlh&AN=149980645&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 149980645 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12103055 H2H jtl: Human Affairs issn: 12103055 maglogo: N pubinfo: dt: 2021 vid: 31 iid: 2 pid: 1734 pub: De Gruyter artinfo: ui: 149980645 10.1515/humaff-2021-0013 ppf: 149 ppct: 16 formats: tig: atl: A moral analysis of intelligent decision-support systems in diagnostics through the lens of Luciano Floridi's information ethics. aug: au: Mykhailov, Dmytro affil: School of Public Administration Philosophy Department Nanjing Normal University Nanjing, 210046 China su: Information ethics Artificial neural networks Deep learning sug: subj: Information ethics Artificial neural networks Deep learning keyword: AI in medicine artificial moral agency information and computer ethics Intelligent Decision-Support Systems (IDSS) Object-Oriented Model of Moral Action (OOP model) ab: Contemporary medical diagnostics has a dynamic moral landscape, which includes a variety of agents, factors, and components. A significant part of this landscape is composed of information technologies that play a vital role in doctors' decision-making. This paper focuses on the so-called Intelligent Decision-Support System that is widely implemented in the domain of contemporary medical diagnosis. The purpose of this article is twofold. First, I will show that the IDSS may be considered a moral agent in the practice of medicine today. To develop this idea I will introduce the approach to artificial agency provided by Luciano Floridi. Simultaneously, I will situate this approach in the context of contemporary discussions regarding the nature of artificial agency. It is argued here that the IDSS possesses a specific sort of agency, includes several agent features (e.g. autonomy, interactivity, adaptability), and hence, performs an autonomous behavior, which may have a substantial moral impact on the patient's well-being. It follows that, through the technology of artificial neural networks combined with 'deep learning' mechanisms, the IDSS tool achieves a specific sort of independence (autonomy) and may possess a certain type of moral agency. Second, I will provide a conceptual framework for the ethical evaluation of the moral impact that the IDSS may have on the doctor's decision-making and, consequently, on the patient's wellbeing. This framework is the Object-Oriented Model of Moral Action developed by Luciano Floridi. Although this model appears in many contemporary discussions in the field of information and computer ethics, it has not yet been applied to the medical domain. This paper addresses this gap and seeks to reveal the hidden potentialities of the OOP model for the field of medical diagnosis. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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