This review article examines the legal accountability and ethical considerations of artificial intelligence (AI) in financial services. AI is transforming the financial industry by enhancing efficiency, innovation, and personalized services. However, its use raises significant legal and ethical concerns, including accountability for AI-related decisions, transparency, fairness, and regulatory compliance. The paper explores existing legal frameworks such as data protection laws, consumer protection regulations, and liability laws, assessing their adequacy in addressing AI-related issues. Ethical considerations are also critical, as AI systems can impact individuals' financial well-being and access to services. Issues such as algorithmic bias, transparency, and fairness are central to ensuring ethical AI practices. The paper discusses the importance of ethical guidelines and frameworks for AI development and deployment in financial services, emphasizing transparency, accountability, and fairness. It also examines the role of regulatory bodies and industry standards in addressing legal and ethical challenges. The paper proposes recommendations for policymakers, regulators, and industry stakeholders to promote responsible AI practices, including the development of clear guidelines, enhanced transparency measures, and mechanisms for accountability. Overall, the paper highlights the complex interplay between AI, legal accountability, and ethical considerations in the financial services industry. By addressing these challenges, stakeholders can harness the full potential of AI while ensuring it is deployed in a responsible and ethical manner, benefiting both businesses and consumers.This review article examines the legal accountability and ethical considerations of artificial intelligence (AI) in financial services. AI is transforming the financial industry by enhancing efficiency, innovation, and personalized services. However, its use raises significant legal and ethical concerns, including accountability for AI-related decisions, transparency, fairness, and regulatory compliance. The paper explores existing legal frameworks such as data protection laws, consumer protection regulations, and liability laws, assessing their adequacy in addressing AI-related issues. Ethical considerations are also critical, as AI systems can impact individuals' financial well-being and access to services. Issues such as algorithmic bias, transparency, and fairness are central to ensuring ethical AI practices. The paper discusses the importance of ethical guidelines and frameworks for AI development and deployment in financial services, emphasizing transparency, accountability, and fairness. It also examines the role of regulatory bodies and industry standards in addressing legal and ethical challenges. The paper proposes recommendations for policymakers, regulators, and industry stakeholders to promote responsible AI practices, including the development of clear guidelines, enhanced transparency measures, and mechanisms for accountability. Overall, the paper highlights the complex interplay between AI, legal accountability, and ethical considerations in the financial services industry. By addressing these challenges, stakeholders can harness the full potential of AI while ensuring it is deployed in a responsible and ethical manner, benefiting both businesses and consumers.