Privacy and Security in AI-Driven Mental Health Apps

Today, privacy and security are increasingly important in the expanding landscape of AI-driven mental health technology.As the use of AI-driven solutions in mental health treatment advances, questions about the ethical management of sensitive data, user privacy and system vulnerabilities have emerged as serious challenges.This book provides a comprehensive investigation of these issues, addressing how privacy-preserving approaches and secure systems can maintain trust, transparency and ethical integrity in mental health applications. The book covers a broad range of subjects. It begins with an introduction to mental health applications and their integration with AI technology, followed by a detailed discussion of the types of data collected, including sensitive behavioral, physiological and psychological data.It then analyses privacy threats, such as data breaches and misuse of personal information, and security problems, including cyberattacks and vulnerabilities in AI systems.Several