Artificial Intelligence in Internal Audit and Risk Assessment

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dc.authorscopusid57218793859
dc.authorscopusid57712522900
dc.contributor.authorKahyaoglu S.B.
dc.contributor.authorAksoy T.
dc.date.accessioned2024-03-09T19:39:55Z
dc.date.available2024-03-09T19:39:55Z
dc.date.issued2021
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description.abstractIn this study, the effects of artificial intelligence applications, which have gained importance recently, on internal audit and risk assessment are analyzed. Internal audit and risk assessment are critical for the early detection of risks that arise in the processes of businesses that are becoming more complex and exposed to external factors due to digitalization. With the internet of things that are generally accepted all over the world, there are significant differences in the way businesses do business. This situation also forces companies to differentiate internal audit and risk assessment, which is a strategic and integral element of management processes. In this context, this study focuses on the challenges and opportunities faced by internal audit and risk assessment because of digitalization, big data analysis and artificial intelligence applications depending on the rapidly developing digital work environments. Accordingly, the study includes in-depth analysis to contribute to the particularly relevant literature and to develop policy recommendations for audit and risk management professionals. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-72624-9_8
dc.identifier.endpage192en_US
dc.identifier.issn2730-6038
dc.identifier.scopus2-s2.0-85128763244en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage179en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-72624-9_8
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1557
dc.identifier.volumePart F212en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofContributions to Finance and Accountingen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial intelligence; Big data analysis; Data processing; Deep learning; Digital literacy; Digitalization; Early detection of risks; Internal audit; Machine learning; Risk assessmenten_US
dc.titleArtificial Intelligence in Internal Audit and Risk Assessmenten_US
dc.typeBook Chapteren_US

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