In this paper, I delve into the ethical and regulatory aspects of using artificial intelligence (AI) in the finance sector. As AI technologies increasingly influence financial decision-making, addressing issues of fairness, transparency, and regulation becomes crucial. The research will involve reviewing relevant academic literature, industry reports, and regulatory documents to gather information and insights on the ethical and regulatory dimensions of AI in finance. My research focuses on three main areas: the presence of bias in AI-driven financial decisions, the regulatory challenges hindering ethical AI deployment, and the need for transparency and explainability in AI processes. By examining these aspects, I argue that mitigating bias, enhancing regulatory frameworks, and promoting clarity in AI applications are essential for building trust and ensuring ethical practices in financial services. Key findings include the presence of bias in AI-driven financial decisions, the need for updated regulatory frameworks to address AI complexities, and the importance of transparency and explainability in AI processes. These elements are crucial for building trust and ensuring ethical practices in financial services. Ultimately, this work advocates for a collaborative approach among regulators, financial institutions, and AI developers to create a more equitable financial ecosystem.
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