Digital Transformation in Audit: Opportunities and Challenges of Artificial Intelligence in Audit
Öz
Anahtar Kelimeler
Kaynakça
- AICPA. (2020). CPAs as Data Analysts: How Louisiana Accountants Respond to Data-Driven Business Paradigms, Retrieved from https://www.proquest.com/docview/2386340052?pq-origsite=gscholar&fromopenview=true&sourcetype=Dissertations%20&%20Theses
- Bak, M., Madai, V. I., Fritzsche, M. C., Mayrhofer, M. T. ve McLennan, S. (2022). You can’t have AI both ways: balancing health data privacy and access fairly. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.929453.
- Bao, Y., Hilary, G., ve Ke, B. (2022). Artificial intelligence and fraud detection. In V. Babich, J. R. Birge, & G. Hilary (Eds.), Innovative technology at the interface of finance and operations, 1, (223–247), Springer Series in Supply Chain Management. https://doi.org/10.1007/978-3-030-86086-4_10.
- Batal, M. S. (2016). Yapay zeka uygulamaları ve yapay zekanın geleceği(Yüksek Lisans Tezi). Uluslararası Sunhıll Üniversitesi, Filipinler.
- Boillet, J. (2018). Why AI is both a risk and a way to manage risk. Retrieved from EY: https://www. ey. com/en_us/assurance/why-ai-is-both-a-risk-and-a-way-tomanage-risk.
- Bozkurt, P. (2016). Denetim Kavramı Ve Denetim Anlayışındaki Gelişmeler. Denetişim, (12), 56-62.
- Byrnes, P. E., Al-Awadhi, A., Gullvist, B., Brown-Liburd, H., Teeter, R., Warren Jr, J. D., ve Vasarhelyi, M. (2018). Evolution of auditing: From the traditional approach to the future audit. In Continuous auditing: Theory and application, 285-297.
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Denetim ve Mali Sorumluluk, Muhasebe, Denetim ve Mali Sorumluluk (Diğer)
Bölüm
İnceleme Makalesi
Yazarlar
Nimet Evdilek
Bu kişi benim
0009-0008-3945-9376
Türkiye
Yayımlanma Tarihi
31 Ocak 2025
Gönderilme Tarihi
17 Ekim 2024
Kabul Tarihi
8 Ocak 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 5 Sayı: 1