黑料传送门

Institute of Accounting and Auditing

Dr Tassilo 贵枚丑谤

Dr. Tassilo 贵枚丑谤
Postadresse: Helmholtzstra脽e 22
Sitz des Instituts: Helmholtzstra脽e 20
89081 Ulm
叠补诲别苍-奥眉谤迟迟别尘产别谤驳
DE
Room: 1.61

Publications

 

Working paper

  • 贵枚丑谤, T. L., Schreyer, M., Moffitt, K., & Marten, K.-U. (2024). Deep learning meets risk-based auditing: A holistic framework for leveraging foundation and task-specific models in audit procedures. SSRN Working Paper 4488271.
  • 贵枚丑谤, T. L., Schreyer, M., Juppe, T. A., & Marten, K.-U. (2023). Assuring sustainable futures: Auditing sustainability reports using AI foundation models. SSRN Working Paper 4502549.

 

International publications

  • 贵枚丑谤, T. L., Reichelt, V., Marten, K.-U., & Eulerich, M. (2025). A framework for the structured implementation of process mining for audit tasks. International Journal of Accounting information systems, 56, Article 100727.
  • Seidenstein, T., Marten K.-U., Donaldson G., 贵枚丑谤, T. L., Reichelt, V., & Jakoby, L. B. (2024). Innovation in audit and assurance: A global study of disruptive technologies. Journal of Emerging Technologies in Accounting, 21(1), 129-146.
  • 贵枚丑谤, T. L. (2024). A method to categorize and classify artificial intelligence applicable to the risk-based audit approach. Die Unternehmung, Vol. 78 (3), pp. 264-310. Swiss Journal of Business Research and Practice.

 

National publications

  • Reuter, F., & 贵枚丑谤, T. L., (2025): Generative AI as a co-pilot in the audit of financial statements, in: Die Wirtschaftspr眉fung (WPg), Vol. 78 (2), pp. 59-66.
  • 贵枚丑谤, T. L., & Schreyer, M. (2024). Generative artificial intelligence for risk-oriented auditing. REthinking: Tax, 7(4), pp. 13-16.
  • Reichelt, V., Mayer, H. M., 贵枚丑谤, T. L., & Damjanovic, N. (2023). Reporting on Artificial Intelligence and Ethical Approaches, in: Journal of International and Capital Market Accounting (KoR IFRS), Vol. 23 (4), pp. 159-165.
  • 贵枚丑谤, T. L., Marten, K.-U., & Schreyer, M. (2023). Generative artificial intelligence and a risk-oriented audit approach, in: Der Betrieb, Vol. 76 (30), pp. 1681-1693.
  • Bauckhage, C., 贵枚丑谤, T. L., Loitz, R., & Marten, K.-U. (2023). Five theses on the importance of artificial intelligence in auditing, in: Der Betrieb, Vol. 76 (36), pp. 2065-2067.
  • Reichelt, V., & 贵枚丑谤, T. L. (2023). Artificial Intelligence and Robotic Process Automation in Accounting and Auditing Research. REthinking: Tax, 5(3), pp. 25-29.
  • Marten, K.-U., 贵枚丑谤, T. L., & McIntosh, S. (2022). AI-based data analyses and a risk-oriented audit approach, in: Die Wirtschaftspr眉fung (WPg), Vol. 75 (16), pp. 898-908.
  • Marten, K.-U., 贵枚丑谤, T. L., Juppe, T. A., & Reichelt, V. (2022). Fraud detection using new technologies in financial statement audits? Implications from practice and research, in: Hossenfelder, J. (ed.) (2021), L眉nendonk-Handbuch Wirtschaftspr眉fung und Steuerberatung 2022 - 60 f眉hrende Partner f眉r Ihr Unternehmen, Freiburg/M眉nchen/Stuttgart 2021, pp. 69-95.