Artificial intelligence (AI) reshapes the way organizations operate, offering transformations across industries. However, as AI systems become more integrated into decision-making processes, the need for transparency becomes critical. Transparent AI builds trust while ensuring ethical standards are upheld and regulatory compliance is met. This intersection demands organizational change, altering workflows, governance structures, and cultural norms. Understanding how transparency influences AI adoption and drives internal transformation is essential for organizations harnessing AI effectively. AI, Transparency, and Organizational Change explores the integration of AI into organizations, requiring greater transparency in decision-making processes and system design. It examines the organizational changes required to implement transparent AI practices, including shifts in culture, governance, and accountability structures. This book covers topics such as business governance, decision-making, and ethics and law, and is a useful resource for business owners, policymakers, academicians, researchers, and scientists.