Model Risk Management for Generative AI In Financial Institutions

Anwesha Bhattacharyya; Hanyu Yang; Jie Chen; Kiran Yalavarthy; Rahul Singh; Tarun Joshi; Ye Yu

arxiv: 2503.15668 · v1 · pith:P2K4RCC5new · submitted 2025-03-19 · 💱 q-fin.RM · cs.LG

Model Risk Management for Generative AI In Financial Institutions

Anwesha Bhattacharyya , Ye Yu , Hanyu Yang , Rahul Singh , Tarun Joshi , Jie Chen , Kiran Yalavarthy This is my paper

classification 💱 q-fin.RM cs.LG

keywords modelfinancialapplicationsgenerativeriskadditionalenterprisesmanagement

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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.

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