Artificial intelligence and algorithmic decisions in fraud detection: An interpretive structural model
- DOI
- 10.1017/dap.2023.22
- Published
- 2023
- Container
- Data & Policy
- Publisher
- Cambridge University Press (CUP)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1017/dap.2023.22,
title = {Artificial intelligence and algorithmic decisions in fraud detection: An interpretive structural model},
author = {Evrim Tan and Maxime Petit Jean and Anthony Simonofski and Thomas Tombal and Bjorn Kleizen and Mathias Sabbe and Lucas Bechoux and Pauline Willem},
year = {2023},
journal = {Data \& Policy},
doi = {10.1017/dap.2023.22},
url = {https://doi.org/10.1017/dap.2023.22}
}RIS
TY - JOUR TI - Artificial intelligence and algorithmic decisions in fraud detection: An interpretive structural model AU - Evrim Tan AU - Maxime Petit Jean AU - Anthony Simonofski AU - Thomas Tombal AU - Bjorn Kleizen AU - Mathias Sabbe AU - Lucas Bechoux AU - Pauline Willem PY - 2023 JO - Data & Policy DO - 10.1017/dap.2023.22 UR - https://doi.org/10.1017/dap.2023.22 ER -
APA
Tan, E., Jean, M. P., Simonofski, A., Tombal, T., Kleizen, B., Sabbe, M., Bechoux, L., & Willem, P. (2023). Artificial intelligence and algorithmic decisions in fraud detection: An interpretive structural model. Data & Policy. https://doi.org/10.1017/dap.2023.22
Source records
- crossref · retrieved 2026-09-25T05:16:09.551Z