Healthcare solutions driven by artificial intelligence (AI) such as machine learning, natural language processing, and deep learning aim to improve health outcomes by reshaping clinical care, enhancing operational efficiency, accelerating innovation, and improving diagnostic accuracy. However, applying these AI systems in healthcare settings remains complex due to cultural, economic, and regulatory considerations. To build sustainable health systems while focusing on patient experience and outcomes, challenges that need to be addressed include data protection and security, algorithmic bias, navigate ethical and governance considerations, digital literacy, organizational change and development, and the role of human expertise in clinical decision making and patient care. This module aims to provide students with an overview of contemporary issues related to the current and emerging AI technologies in health. It also introduces students to frameworks for examining the relationships between technology, law, and society from a rights-based lens.