1st Edition
Privacy and Security in AI-Driven Mental Health Apps
Acknowledgments
About the Authors
Part I. Foundations and Context
The Role of Artificial Intelligence in Modern Mental Healthcare
The Digital Transformation of Mental Health Services
3. Data Privacy and Security in AI-Driven Mental Health Ecosystems
4. Ethical, Legal, and Regulatory Frameworks in AI-Driven Mental Health
Part II. Technical Foundations and Data Management
5. AI Models and Algorithms for Mental Health Applications
6. Secure Data Infrastructure and System Architecture
7. Privacy-Preserving Data Processing and Sharing
8. Federated Learning and Edge Computing for AI-Enabled Mental Health
Part III. Privacy Risks, Ethics, and Trust
9. Risk Assessment and Threat Modeling in AI-Driven Mental Health
10. Data Breaches, User Trust, and Psychological Safety
11. Bias, Fairness, and Cultural Sensitivity in AI Systems
12. Ethical and Psychological Implications of AI Surveillance
Part IV. Governance, Transparency, and Accountability
13. Explainable AI and Transparency in Clinical Decision-Making
14. Digital Consent, Autonomy, and Identity Management
15. Accountability, Auditing, and Compliance Mechanisms
Part V. Future Directions
16. Balancing Innovation, Ethics, and Security in the Future of AI-Driven Mental Health
17. Conclusion
Index
Biography
Shabnam Kumari is working as Ph.D. Research Scholar in Department of Computer Science, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 6 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network. She has published twenty plus research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.
Amit Kumar Tyagi is working as an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (for the periods of July 2009- July 2010, and October 2012- October 2013), Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (September 2018- May 2019), VIT Chennai (June 2019- November 2022) and NIFT New Delhi (November 2022- September 2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as “AARIN” and “P3- Block” to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has done more than 60 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Also, He has published over 350 research articles in refereed high impact journals, conferences and books, and some of his articles has been awarded as best paper awards. Also, he has filed more than 15 patents (Nationally and Internationally) in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. He is a Winner of Faculty Research Award for the Year of 2020, 2021 and 2022 (consecutive three years) given by Vellore Institute of Technology, Chennai, Tamilnadu, India. His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a senior member of IEEE.
