This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) can improve trust and leadership in organizations. Drawing on recent research and case studies from 2024 to 2025, it presents a framework that shows how AI and ML support better decision-making, greater transparency, and stronger collaboration between people and machines. The study highlights four key areas for trustworthy AI: fairness, explainability, robustness, and accountability. It also suggests that combining AI’s analytical strengths with human skills like emotional intelligence and ethical judgment is essential for building trust. Results show that 65% of leaders using AI see more accurate decisions, and strategic planning improves by 60%. The paper discusses challenges such as algorithmic bias, ethical oversight, and the need to keep human values central as automation grows. This research offers a framework that helps leaders balance AI’s efficiency with human judgment, providing practical steps for adopting AI responsibly and maintaining trust within organizations