Deep Ethical Learning: Taking the Interplay of Human and Artificial Intelligence Seriously.
From predicting medical conditions to administering health behavior interventions, artificial intelligence technologies are being developed to enhance patient care and outcomes. However, as Mélanie Terrasse and coauthors caution in an article in this issue of the Hastings Center Report, an overrelia...
| Publicado en: | Hastings Center Report Vol. 49; no. 1; pp. 36 - 40 |
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| Formato: | Artículo |
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Wiley-Blackwell
Jan2019
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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=ssf&AN=134851150&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 134851150 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00930334 HCR jtl: Hastings Center Report issn: 00930334 maglogo: Y pubinfo: dt: Jan2019 vid: 49 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 134851150 10.1002/hast.977 ppf: 36 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P size: 225KB tig: atl: Deep Ethical Learning: Taking the Interplay of Human and Artificial Intelligence Seriously. aug: au: Ho, Anita su: Artificial intelligence Bioethics Medical care Patients Patient safety Prevention of medical errors Algorithms Machine learning Medical care use Quality assurance Decision making in clinical medicine Deep learning Patient autonomy sug: subj: Artificial intelligence Bioethics Medical care Patients Patient safety Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology) Prevention of medical errors Algorithms Machine learning Medical care use Quality assurance Decision making in clinical medicine Deep learning Patient autonomy ab: From predicting medical conditions to administering health behavior interventions, artificial intelligence technologies are being developed to enhance patient care and outcomes. However, as Mélanie Terrasse and coauthors caution in an article in this issue of the Hastings Center Report, an overreliance on virtual technologies may depersonalize medical interactions and erode therapeutic relationships. The increasing expectation that patients will be actively engaged in their own care, regardless of the patients' desire, technological literacy, and economic means, may also violate patients' autonomy and exacerbate access. Moreover, since AI design is both a technical and social process, algorithms may mirror human biases, calling into question the vision of AI technologies surpassing human judgment and avoiding prejudices in decision‐making. The best answer to these problems is to develop AI health technologies as part of a culture of health care quality improvement, responding to existing needs while being proactive about potential technical and ethical problems that can arise from the technologies' design and implementation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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