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'Banking' on artificial intelligence to enhance bank risk management
Dissertation (LLM (Banking Law))--University of Pretoria, 2024.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2025
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| _version_ | 1867613468143648769 |
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| access_status_str | Open Access |
| author2 | Van Heerden, C.M. (Corlia) |
| author_browse | Van Heerden, C.M. (Corlia) |
| author_facet | Van Heerden, C.M. (Corlia) |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (LLM (Banking Law))--University of Pretoria, 2024. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/100784 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:37.472Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/100784 'Banking' on artificial intelligence to enhance bank risk management Van Heerden, C.M. (Corlia) mayuree.chiba@gmai.com Chiba, Mayuree UCTD Sustainable Development Goals (SDGs) Risk management Bank Artificial intelligence Operational risk Dissertation (LLM (Banking Law))--University of Pretoria, 2024. This dissertation investigates the impact of digital transformation on risk management within the banking sector, emphasizing the integration of artificial intelligence (AI) in enhancing operational risk management. It examines key research questions about how digitisation reshapes risk management practices, the extent to which South African banks align with international standards, and the role of AI in advancing these frameworks. The study finds that AI holds substantial potential to improve risk management, particularly in managing operational risks, while underscoring the indispensable role of human oversight. Ultimately, this shift toward a more AI-driven, adaptive approach marks a pivotal evolution in the financial sector, suggesting that the future of risk management can indeed rely on AI's transformative capabilities. Mercantile Law LLM (Banking Law) Unrestricted Faculty of Laws None 2025-02-12T12:29:17Z 2025-02-12T12:29:17Z 2025-04 2024-10 Dissertation * A2025 http://hdl.handle.net/2263/100784 Disclaimer letter en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Sustainable Development Goals (SDGs) Risk management Bank Artificial intelligence Operational risk 'Banking' on artificial intelligence to enhance bank risk management |
| title | 'Banking' on artificial intelligence to enhance bank risk management |
| title_full | 'Banking' on artificial intelligence to enhance bank risk management |
| title_fullStr | 'Banking' on artificial intelligence to enhance bank risk management |
| title_full_unstemmed | 'Banking' on artificial intelligence to enhance bank risk management |
| title_short | 'Banking' on artificial intelligence to enhance bank risk management |
| title_sort | banking on artificial intelligence to enhance bank risk management |
| topic | UCTD Sustainable Development Goals (SDGs) Risk management Bank Artificial intelligence Operational risk |
| url | http://hdl.handle.net/2263/100784 |