Abstract
The digital transformation is not only a necessity for preserving prosperity in the face of international competition, but also introduces challenges regarding fairness, trust, and bias the more it permeates private areas of life such as finance. This paper examines AI-driven applications in the credit and banking sectors to provide robust methodological guidelines for system development based on the design science research (DSR) paradigm as foundation for creating scientifically sound artifacts that improve the performance of real-world organizations. The findings of a systematic literature review suggest that the interpretability of input data and results is considered more important than understanding the exact mathematical functioning, and that the involvement of human experts is advisable, although they are hardly ever immune to bias. By fostering trust in the responsible use of AI, higher willingness to share personal data could be achieved, which in turn could improve accuracy and the level of transparency.
Paper Type
Full Paper
DOI
10.62036/ISD.2026.137
Integrating Ethics into Artificial Intelligence-Based Systems Development in Banking and Credit Business
The digital transformation is not only a necessity for preserving prosperity in the face of international competition, but also introduces challenges regarding fairness, trust, and bias the more it permeates private areas of life such as finance. This paper examines AI-driven applications in the credit and banking sectors to provide robust methodological guidelines for system development based on the design science research (DSR) paradigm as foundation for creating scientifically sound artifacts that improve the performance of real-world organizations. The findings of a systematic literature review suggest that the interpretability of input data and results is considered more important than understanding the exact mathematical functioning, and that the involvement of human experts is advisable, although they are hardly ever immune to bias. By fostering trust in the responsible use of AI, higher willingness to share personal data could be achieved, which in turn could improve accuracy and the level of transparency.
Recommended Citation
Daase, C., Strube, D. & Turowski, K.(2026). Integrating Ethics into Artificial Intelligence-Based Systems Development in Banking and Credit Business. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.137