The paper "Ethical Implications of Artificial Intelligence (AI) Adoption in Financial Decision Making" by Omoshola S. Owolabi et al. explores the ethical challenges and considerations arising from the integration of AI in financial decision-making. The authors emphasize the need for an ethical framework to ensure fair and trustworthy deployment of AI in finance. Key ethical issues discussed include algorithmic bias, transparency, accountability, privacy, and security. The paper proposes a comprehensive ethical framework that includes clear guidelines, governance structures, regular audits, and stakeholder collaboration. It highlights the importance of transparency and accountability in AI algorithms to prevent bias and ensure ethical decision-making. The study also addresses the impact of AI on employment, regulatory challenges, and the potential risks associated with AI adoption in financial markets. Through case studies and best practices, the paper provides practical insights and recommendations for responsible AI integration in finance, aiming to maximize the benefits of AI while minimizing negative impacts.The paper "Ethical Implications of Artificial Intelligence (AI) Adoption in Financial Decision Making" by Omoshola S. Owolabi et al. explores the ethical challenges and considerations arising from the integration of AI in financial decision-making. The authors emphasize the need for an ethical framework to ensure fair and trustworthy deployment of AI in finance. Key ethical issues discussed include algorithmic bias, transparency, accountability, privacy, and security. The paper proposes a comprehensive ethical framework that includes clear guidelines, governance structures, regular audits, and stakeholder collaboration. It highlights the importance of transparency and accountability in AI algorithms to prevent bias and ensure ethical decision-making. The study also addresses the impact of AI on employment, regulatory challenges, and the potential risks associated with AI adoption in financial markets. Through case studies and best practices, the paper provides practical insights and recommendations for responsible AI integration in finance, aiming to maximize the benefits of AI while minimizing negative impacts.