AI holds immense promise in various aspects of daily life and has demonstrated numerous successful applications, however addressing ethical issues remains a pressing concern. Generative Artificial Intelligence and Ethics for Healthcare conducts a deep dive into the potential issues and challenges associated with Generative AI applications. The book begins with foundational concepts of generative AI, is followed by an exploration of ethical theories, including specific case studies in healthcare, and concludes with discussions on policy and future implications. Written for healthcare professionals, policymakers, academics and AI developers, by authors who have a thorough understanding of AI and machine learning in the healthcare.

Loveleen Gaur, PhD currently works as an adjunct professor with Taylor University, Malaysia & University of South Pacific, Fiji, and academic consultant with Australian School of Graduate Studies. Before moving to USA, she was a Professor with Amity University, India. She's supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She's a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has been honored with prestigious National and International awards.