دورية أكاديمية
The Application of Artificial Intelligence Models in Commercial Banks − Opportunities and Threats
| العنوان: | The Application of Artificial Intelligence Models in Commercial Banks − Opportunities and Threats |
|---|---|
| المؤلفون: | Adam Chwila |
| المصدر: | Acta Universitatis Lodziensis. Folia Oeconomica, Vol 1, Iss 362, Pp 63-98 (2023) |
| بيانات النشر: | Lodz University Press, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Marketing. Distribution of products LCC:Finance |
| مصطلحات موضوعية: | artificial intelligence, machine learning, ethics, banking, ai explainability, regulation, Marketing. Distribution of products, HF5410-5417.5, Finance, HG1-9999 |
| الوصف: | One of the main sectors that makes heavy use of the development of advanced computational methods is the banking sector. The goals of our research are as follows: 1) to compare scientific and regulatory approaches to defining artificial intelligence (AI) and machine learning (ML), 2) to propose AI and ML definitions for regulatory purposes that allow us to clearly state if a given method is AI/ML or not, 3) to compare the complex quantitative methods applied in banking in terms of complexity and interpretability in order to provide a clear classification of methods to the interested parties (practitioners and management), 4) to propose a possible approach towards the further development of quantitative methods in the areas of required strict interpretability. Our literature review focuses on the definitions of AI/ML applied by scientists and regulators, as well as the proposals of application of complex quantitative solutions in different banking domains. We propose practical definitions of AI and ML based on the current state of the art and requirements of clarity in the banking industry (a very limited risk appetite regarding regulations non‑compliance) and compare quantitative methods applied in different banking domains. For regulatory purposes, we propose general and inclusive definitions of AI and ML which allow for a clear classification of specific methods. In the case of strict requirements towards the interpretability of applied methods, we propose a gradual and controlled increase in the complexity of existing solutions. Therefore, we propose the differentiation of quantitative methods in terms of interpretability and complexity. We also think that the definitions of AI/ML in further regulations should make it possible to clearly say whether particular approaches are AI/ML. Our research is directed to policymakers, practitioners, and executives related to the banking sector. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Polish |
| تدمد: | 0208-6018 2353-7663 |
| Relation: | https://czasopisma.uni.lodz.pl/foe/article/view/15685; https://doaj.org/toc/0208-6018; https://doaj.org/toc/2353-7663 |
| DOI: | 10.18778/0208-6018.362.04 |
| URL الوصول: | https://doaj.org/article/1f5b23dbdd834ebfa0b9f7fdd2919695 |
| رقم الأكسشن: | edsdoj.1f5b23dbdd834ebfa0b9f7fdd2919695 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 02086018 23537663 |
|---|---|
| DOI: | 10.18778/0208-6018.362.04 |