Introduction: The integration of advanced AI systems, such as GPT-4, into decision-making processes holds immense promise for enhancing efficiency and accuracy. However, this integration raises significant ethical considerations that must be carefully addressed to ensure responsible and fair outcomes. Problem Statement: As AI technologies like GPT-4 become increasingly sophisticated, concerns about their potential to perpetuate biases, invade privacy, and undermine human autonomy have grown. The ethical implications of deploying such systems in decision-making contexts are multifaceted and require comprehensive examination. Objective: This research aims to investigate the ethical considerations surrounding the implementation of GPT-4 in decision-making systems, with a focus on identifying potential risks, assessing their impact, and proposing strategies to mitigate ethical concerns. Methodology: A multidisciplinary approach will be adopted, drawing on literature from ethics, computer science, and sociology. Qualitative analysis techniques will be employed to analyze existing case studies, ethical frameworks, and stakeholder perspectives regarding the implementation of AI technologies in decision-making processes. Results: The study will provide insights into the ethical challenges associated with the deployment of GPT-4 in decision-making systems, including issues related to fairness, transparency, accountability, and human oversight. It will also offer recommendations for policymakers, developers, and practitioners to navigate these challenges responsibly. Conclusion: Ethical considerations are paramount in the implementation of AI technologies like GPT-4 in decisionmaking systems. By addressing these concerns proactively, stakeholders can harness the potential benefits of AI while upholding principles of fairness, justice, and respect for human dignity.