Introduction: With the increasing integration of artificial intelligence (AI) technologies into various aspects of business operations, there is a growing interest in understanding how human-AI collaboration influences decision-making in management. This study aims to investigate the effects of such collaboration on decision-making processes within managerial contexts. Problem Statement: As AI systems become more sophisticated, there is concern about how they might affect traditional managerial roles and decision-making processes. Understanding the dynamics of human-AI collaboration in decisionmaking is essential for organizations to leverage these technologies effectively while ensuring human oversight and accountability. Objective: The primary objective of this research is to analyze the impact of human-AI collaboration on decision-making in management. Specifically, the study aims to examine the effectiveness of different models of collaboration, identify factors influencing decision outcomes, and assess the role of human judgment in AI-assisted decision-making processes. 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 from various managerial levels and industries will be involved in simulated decision-making tasks, allowing for the exploration of different collaboration models and decision contexts. Results: The findings of this study are expected to provide insights into the strengths and limitations of human-AI collaboration in management decision-making. Analysis of decision outcomes, participant feedback, and performance metrics will shed light on the factors contributing to effective collaboration and the optimal integration of AI technologies into managerial processes. Conclusion: By understanding how human-AI collaboration influences decision-making in management, organizations can develop strategies to maximize the benefits of AI while mitigating potential risks. This research contributes to the growing body of knowledge on AI adoption in organizational contexts and informs best practices for leveraging AI technologies to enhance decision-making processes.