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dc.contributor.authorSubasi, Abdulhamit
dc.contributor.authorOzaltin, Oznur
dc.contributor.authorMitra, Arka
dc.contributor.authorSubasi, Muhammed Enes
dc.contributor.authorSarirete, Akila
dc.date.accessioned2024-02-25T05:27:51Z
dc.date.available2024-02-25T05:27:51Z
dc.date.issued2023-01-01
dc.identifier.citationAbdulhamit Subasi, Oznur Ozaltin, Arka Mitra, Muhammed Enes Subasi, Akila Sarirete, Chapter 8 - Trustworthy artificial intelligence in healthcare, Editor(s): Patricia Ordóñez de Pablos, Xi Zhang, In Information Technologies in Healthcare Industry, Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry, Academic Press, Volume 2, 2023, Pages 145-177, ISBN 9780443152993en_US
dc.identifier.isbn9780443152993en_US
dc.identifier.doihttps://doi.org/10.1016/B978-0-443-15299-3.00015-4en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/1434
dc.description.abstractIn addition to several chances to enhance people's lives and the development of communities, economies, and healthcare, artificial intelligence (AI) similarly presents a number of brand-new social, legal, ethical, and technological issues. Since trust is the cornerstone of communities, economies, healthcare, and sustainable development, trustworthy AI (TAI) is based on the premise that people, organizations, and society can only ever use AI to its full potential if trust can be created in its design, implementation, and application (Thiebes et al., 2021). AI has the potential to significantly enhance the provision of healthcare and other services, which promote the health and welfare of the population. However, there are also potential risks related to utilizing AI in healthcare, which might result in accidental damage. Numerous recommendations are made with a range of stakeholders in mind, with a focus on directing practitioners toward stronger and more ethical AI applications. However, the application domain and the environment of an AI system affect its interpretation, applicability, and implementation (Zicari et al., 2021). The idea of TAI encourages the idea that people, societies, and organizations can understand the full capacity of AI if trust can be formed in its development and deployment. This will maximize the advantages of AI while also reducing or even eliminating its risks and hazards. Even though the recommended therapies might improve the patients’ well-being, it is doubtful that either doctors or patients will follow the suggestions if, for instance, neither group has confidence in an AI-based system's diagnosis or therapy recommendations. The significance of TAI, however, extends beyond industries like autonomous vehicles and healthcare (Thiebes et al., 2021). This chapter's primary contribution is to show how to employ TAI recommendations in practice in the healthcare area.en_US
dc.publisherAcademic Pressen_US
dc.subjectArtificial intelligence (AI)en_US
dc.subjectTrustworthy AIen_US
dc.subjectHealthcareen_US
dc.titleTrustworthy artificial intelligence in healthcareen_US
dc.source.booktitleAccelerating Strategic Changes for Digital Transformation in the Healthcare Industryen_US
dc.source.volumeAcademic Press;
dc.source.pages145-177en_US
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labArtificial Intelligence & Cyber Security Laben_US
dc.subject.KSAHEALTHen_US
dc.contributor.ugstudent0en_US
dc.contributor.alumnae0en_US
dc.source.indexScopusen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.pgstudent0en_US
dc.contributor.firstauthorSubasi, Abdulhamit


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