Overview of Driven Auditing And Ai
This study examines the evolution of artificial intelligence ( AI ) in auditing by systematically synthesizing 26 years of global scholarship to address conceptual fragmentation in the field. Guided ...
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Th ius review reveals a dynamic and multi-layered transformation in accounting and auditing practices driven by artificial intelligence. To synthesize these insights, a conceptual framework was developed that organizes the literature into four interrelated layers: AI technology components, drivers of adoption, moderating factors, and outcomes.
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ABSTRACT This study examines the evolution of artificial intelligence ( AI ) in auditing by system-atically synthesizing 26 years of global scholarship to address conceptual fragmentation in the field. Guided by the PRISMA protocol, it analyses 269 Scopus-indexed journal articles, harmonized using OpenRefine and biblioMagika, and examined through per-formance analysis, co-occurrence mapping, and ...
In this study we research the adoption of artificial intelligence ( AI ) in auditing by large public accounting firms, with emphasis on its challenges and opportunities. Some previous studies point to delayed adoption of AI in auditing due to regulations and the need for additional safeguards while others document extensive AI implementation.
PDF THE IIA'S Artificial Intelligence Auditing Framework
AI can be a daunting topic for an internal auditor, especially as organizations' AI adoption and use continue to grow . Now more than ever, organizations are looking to internal audit for increased guidance on AI . Whether as an advisor on risks and controls related to AI or in an assurance role on processes that use or rely on AI , it is vital that internal auditors increase their knowledge ...
