AI Ethics and Internal Oversight Structures—Mitigating Bias in Financial AI

The integration of artificial intelligence into financial decision-making has ushered in an era of unprecedented efficiency, personalization, and scalability. However, as these systems increasingly govern credit approvals, fraud detection, and investment strategies, their ethical implications have become impossible to ignore. The financial sector now faces a critical juncture where the pursuit of algorithmic accuracy must be reconciled with the imperative of fairness, transparency, and accountability. This chapter examines the ethical dimensions of AI in finance, focusing on the institutional structures and technical methodologies required to ensure that these powerful tools serve the interests of all stakeholders—consumers, regulators, and financial institutions alike.