Generative Artificial Intelligence and Ethics for Healthcare

Dr. Loveleen Gaur is an internationally recognized academic leader, educator, and researcher in Artificial Intelligence, Generative AI, and Data Analytics. She serves as Director of the Symbiosis Artificial Intelligence Institute (SAII), Symbiosis International University, Pune, where she leads interdisciplinary education and ethical AI innovation.With over two decades of experience, Dr. Gaur has held senior academic roles at institutions in India and abroad, including Amity University, and holds adjunct professorships at Taylor’s University (Malaysia) and the University of the South Pacific (Fiji). Her work spans curriculum design, doctoral supervision, research leadership, and global collaborations.Named among the World’s Top 2% Scientists (Stanford/Elsevier, 2024), she has authored and edited numerous books and published extensively in high-impact journals. Her research focuses on AI in healthcare, explainable AI, sustainability, and business intelligence. A Senior IEEE member and journal editor, she is committed to advancing ethical, socially impactful AI.Ajith Abraham, PhD (2001) in artificial intelligence from Monash University, Australia, is the Vice Chancellor of Sai University, India. Prior to joining Sai University, he held senior positions at several prominent institutions and was the founding director of Machine Intelligence Research Labs, a nonprofit scientific network for innovation and research excellence headquartered in Seattle, United States. Dr. Abraham has led or co-led research projects valued at over $110 million, funded by organizations in the United States, the European Union, Italy, the Czech Republic, France, Malaysia, China, and Australia. He has worked in multidisciplinary environments for more than 35 years and is a prolific co-author of research publications in artificial intelligence and its industrial applications. Several of his works have been translated into Chinese and Russian, and one of his books has been translated into Japanese. Dr. Abraham is consistently featured in the Stanford/Elsevier list of the world’s top 2% most-cited scientists. From 2016 to 2021, he served as Editor-in-Chief of Engineering Applications of Artificial Intelligence (EAAI), one of the longest-standing journals in the field (founded in 1988). He has also served on the editorial boards of more than 15 international journals indexed by Thomson ISI.

• 1. Generative AI in Healthcare: Introduction, Concept, Applications, and Challenges2. Understanding Training Data and Mitigating Biases in Training Data3. Calibrating Generative AI Models for Healthcare4. Explainability in Generative AI and LLMs5. Ethical Considerations in Generative AI Development and Usage6. Ethical Concerns of Generative AI in Healthcare Applications7. Ethical Concern of Data Privacy and Patient Data Ownership8. Trust, Accountability, and Informed Consent: Cornerstones of Ethical Practice in Clinical Medicine9. Personalized Medicine and Data Privacy: Where to Draw the Boundary?10. Autonomous Medical Diagnosis: How to Balance Accuracy and Accountability?11. Health Equity and Generative AI: Role, Impact, and Challenges12. Lawfulness and Generative AI13. Empathy and Generative AI: Role and Ethical Challenges14. Role of Governability and Generative AI for Healthcare