Please use this identifier to cite or link to this item: https://hdl.handle.net/1/2528
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dc.contributor.authorHiggins, Oliver-
dc.contributor.authorChalup, Stephan K-
dc.contributor.authorWilson, Rhonda L-
dc.date.accessioned2024-03-18T01:28:16Z-
dc.date.available2024-03-18T01:28:16Z-
dc.date.issued2024-02-29-
dc.identifier.citationOnline ahead of printen
dc.identifier.urihttps://hdl.handle.net/1/2528-
dc.description.abstractBackground: Trustworthiness in Artificial Intelligence (AI) innovation is a priority for governments, researchers and clinicians; however, clinicians have highlighted trust and confidence as barriers to their acceptance of AI within a clinical application. While there is a call to design and develop AI that is considered trustworthy, AI still lacks the emotional capability to facilitate the reciprocal nature of trust. Aim:This paper aims to highlight and discuss the enigma of seeking or expecting trust attributes from a machine and, secondly, reframe the interpretation of trustworthiness for AI through evaluating its reliability and validity as consistent with the use of other clinical instruments. Results: AI interventions should be described in terms of competence, reliability and validity as expected of other clinical tools where quality and safety are a priority. Nurses should be presented with treatment recommendations that describe the validity and confidence of prediction with the final decision for care made by nurses. Future research should be framed to better understand how AI is used to deliver care. Finally, there is a responsibility for developers and researchers to influence the conversation about AI and its power towards improving outcomes. Conclusion: The sole focus on demonstrating trust rather than the business-as-usual requirement for reliability and validity attributes during implementation phases may result in negative experiences for nurses and clinical users.en
dc.description.sponsorshipNursing & Midwifery Directorateen
dc.subjectNursingen
dc.titleArtificial Intelligence in nursing: trustworthy or reliable?en
dc.typeJournal Articleen
dc.description.affiliatesCentral Coast Local Health Districten
dc.description.affiliatesGosford Hospitalen
dc.identifier.journaltitleJournal of Research in Nursingen
dc.type.contentTexten
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
crisitem.author.deptMental Health-
Appears in Collections:Nursing
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