Ethical AI in Financial Services: Balancing Innovation and Compliance
Balkishan Arugula · International Journal of Artificial Intelligence Data Science and Machine Learning · 2024
By offering strong tools that improve decision-making, tailor customer experiences, maximize their operations, and lower risk management, artificial intelligence (AI) is revolutionizing the financial services industry. Institutions accelerating the use of AI create more need for ensuring that innovation does not transcend moral responsibility. The complex balance between using AI's revolutionary power & following the ethical and regulatory guidelines controlling the financial sector is investigated in this paper. It emphasizes the requirement of a strong ethical framework to guide the appropriate use of AI, thereby helping companies to solve important problems such as algorithmic bias, inadequate openness & uncertain accountability in negative contexts. These challenges compromise customer trust & have major legal and reputational effects for financial companies. First with the current legislative framework controlling artificial intelligence usage in finance, the article is arranged to provide a comprehensive viewpoint, then addressing the ethical risks usually connected with AI applications. A useful case study is given to show the benefits & negative effects of AI use, therefore producing specific understanding. The paper offers reasonable concepts for financial organizations to use AI in creative and ethically conscious ways. The concepts center on creating understandable models and encouraging cross-functional responsibility to help organizations to create responsibly & sustainably in a time mostly shaped by intelligent systems