Confronting Mental Health Stigma with AI and Machine Learning
eBook - ePub

Confronting Mental Health Stigma with AI and Machine Learning

  1. 430 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Confronting Mental Health Stigma with AI and Machine Learning

About this book

Be at the forefront of compassionate care with this crucial resource that bridges the gap between technology and human behavior, providing a comprehensive overview of AI-driven strategies to destigmatize mental health and enable empathetic, personalized care.

Written for mental health professionals, AI researchers, policymakers, and advocates, this book bridges the gap between technology and human behavior. It provides a comprehensive overview of emerging AI-driven strategies to destigmatize mental health, using practical examples of real-world implementation and exploring cutting-edge applications of artificial intelligence and machine learning for raising awareness, improving access to mental health care, and fostering inclusivity. It highlights the innovative tools enabling more empathetic, personalized, and effective mental health interventions, focusing on breaking barriers and empowering individuals with actionable insights into how technology can transform mental health advocacy, diagnosis, and treatment.

By addressing the societal, ethical, and technological dimensions of mental health care, it serves as a crucial resource for building stigma-free communities and fostering global well-being through the power of AI. This book is not just about technology—it is a call to action for a more inclusive and compassionate world.

Readers will find this volume:

  • Explores cutting-edge AI and machine learning applications to dismantle mental health stigma and promote awareness;
  • Bridges psychology, technology, and social science for holistic mental health interventions;
  • Tackles mental health stigma with culturally diverse examples and scalable solutions;
  • Highlights emerging trends and ethical considerations for using AI for mental health advocacy;
  • Offers actionable strategies and AI-powered tools for mental health professionals, educators, and policymakers.

Audience

Academics, AI researchers, mental health professionals, and advocates at the intersection of technology and mental health.

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Information

Year
2026
Print ISBN
9781394347261
Edition
1
eBook ISBN
9781394347278

Table of contents

  1. Cover
  2. Table of Contents
  3. seriespage
  4. Confronting Mental Health Stigma with AI and Machine Learningtitlepage
  5. Copyright
  6. Preface
  7. Part I: EXPLORING THE INTERSECTION OF TECHNOLOGY, ARTIFICIAL INTELLIGENCE, AND MENTAL HEALTH STIGMA—CHALLENGES, INNOVATIONS, AND FUTURE DIRECTIONS
  8. Part II: MACHINE LEARNING MEETS MINDFULNESS: LEVERAGING AI FOR MENTAL WELL-BEING
  9. Index
  10. End User License Agreement

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Yes, you can access Confronting Mental Health Stigma with AI and Machine Learning by Ridhima Sharma,Fazla Rabby,Rohit Bansal,Timcy Sachdeva,Jihene Mrabet in PDF and/or ePUB format, as well as other popular books in Computer Science & Natural Language Processing. We have over 1.5 million books available in our catalogue for you to explore.