Abstract
This whitepaper focuses on the critical concept of AI Governance in the Banking, Financial Services, and Insurance (BFSI) sector. It highlights the need for regulations and governance frameworks to mitigate risks associated with accelerated adoption of AI in BFSI, including unethical bias, potential privacy breaches and threats to market stability. The paper advocates for the adoption of Explainable AI (XAI) frameworks to enhance transparency and prevent algorithmic bias. It also examines the evolving global landscape of AI governance, citing examples like the EU AI Act and Singapore’s Model AI Governance Framework. In conclusion, the paper suggests implementing a robust AI governance framework for the financial services industry to address legal, ethical, and regulatory challenges and promote responsible innovation.
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