Model Risk Management for Generative AI In Financial Institutions
Anwesha Bhattacharyya,
Ye Yu,
Hanyu Yang,
Rahul Singh,
Tarun Joshi,
Jie Chen and
Kiran Yalavarthy
Papers from arXiv.org
Abstract:
The success of OpenAI's ChatGPT in 2023 has spurred financial enterprises into exploring Generative AI applications to reduce costs or drive revenue within different lines of businesses in the Financial Industry. While these applications offer strong potential for efficiencies, they introduce new model risks, primarily hallucinations and toxicity. As highly regulated entities, financial enterprises (primarily large US banks) are obligated to enhance their model risk framework with additional testing and controls to ensure safe deployment of such applications. This paper outlines the key aspects for model risk management of generative AI model with a special emphasis on additional practices required in model validation.
Date: 2025-03
References: Add references at CitEc
Citations:
Downloads: (external link)
http://arxiv.org/pdf/2503.15668 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2503.15668
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().