Confronting Mental Health Stigma with AI and Machine Learning
Description
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.
More details
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Persons
Ridhima Sharma, PhD is an Assistant Professor of Management at the Vivekananda Institute of Professional Studies' Technical Campus, Delhi, India with more than 12 years of research and teaching experience. She has contributed several articles to journals and conferences of repute and authored several books. Her research interests include customer relationship management, sustainable consumer behavior, mental health, and artificial intelligence.
Fazla Rabby, PhD is the Director at the Stanford Institute of Management and Technology in Sydney, Australia. He designs and delivers educational activities, assesses student progress, and contributes to curriculum development. His research focuses on blockchain, digital marketing, AI, mental health and well-being, and consumer behavior.
Rohit Bansal, PhD is a Professor in the Department of Management Studies at the Vaish College of Engineering, Rohtak, India. He has authored and edited 40 books, published 160 research papers and chapters in journals of repute, and presented papers at 60 conferences. His areas of interest include organizational behavior, marketing management, human resource management, digital marketing, mental health, and e-learning.
Timcy Sachdeva, PhD is an Assistant Professor at the Vivekananda Institute of Professional Studies at Technical Campus, Delhi, India, with more than 14 years of experience. She has several publications in international journals and conferences and has authored one book. She specializes in financial econometrics and modeling and AI.
Jihene Mrabet, PhD is an Assistant Professor and the Head of the Center of Research Excellence for Health and Wellbeing at Amity University, Dubai, UAE. She has published more than 15 articles in international journals and conferences. Her areas of research cover child and adolescent psychology, addiction, health psychology, psychopathology, and positive psychology.
Content
Preface xxi
Part I: Exploring the Intersection of Technology, Artificial Intelligence, and Mental Health Stigma-Challenges, Innovations, and Future Directions 1
1 Beyond the Likes and Shares: Navigating Technology's Impact on Adolescents' Mental Health Perceptions and Stigma 3
Abhirami S. Manjari
1.1 Influence of Technology on Adolescent Lives 4
1.2 Technology and Mental Health Stigma Among Adolescents 6
1.3 The Digital Landscape: Opportunities and Challenges 9
1.4 Impact of Cultural and Social Determinants on Mental Health Stigma and Technology Use 14
1.5 Successful Examples of Leveraging Technology's Potential for Positive Outcomes 15
1.6 Best Practices for Effectively Using Technology to Reduce Stigma 18
1.7 Future Directions and Recommendations 19
1.8 Conclusion 21
2 Leveraging Artificial Intelligence to Mitigate Mental Health Stigma in India: An Evidence-Based Analysis 33
Ritu Pareek
2.1 Introduction 34
2.2 Artificial Intelligence (AI) and India's Mental Health Stigma 40
2.3 Improved Pattern Identification and Prompt Diagnosis 44
2.4 AI-Driven Tools for Mental Health Services 46
2.5 Dealing with Stigma and Promoting Help-Seeking 49
2.6 Challenges in AI Integration 50
2.7 Techniques for Safeguarding AI 53
2.8 Results and Discussion 55
2.9 Recommendations 56
2.10 Conclusion 58
3 The AI Revolution in Mental Health: Beyond Traditional Paradigms 63
Durgeshwary Kolhe, Arshad Bhat and Mehvish
3.1 Introduction 64
3.2 Research Methodology 66
3.3 The Convergence of AI and Mental Health 67
3.4 Education and Workforce Training 70
3.5 Cultural Sensitivity in AI Applications 72
3.6 Beyond the Hype-Real-World Implications 75
3.7 The Future Landscape of Mental Health with AI 77
3.8 Conclusion 78
4 Role and Application of Supportive Chatbots and Virtual Assistants in Confronting Mental Stigma with AI and ML 83
Monirul Islam
4.1 Introduction 84
4.2 Research Problem and Gap 86
4.3 Research Methodology 86
4.4 Understanding Mental Health Stigma with AI/ML 86
4.5 Development of Supportive Chatbots 88
4.6 History of AI-Powered Chatbots 92
4.7 Case Studies 92
4.8 Mental Health and Chatbots 93
4.9 Functions of Mental Health Chatbots 95
4.10 Ethical Considerations and Potential Risks and Misuse 97
4.11 Challenges and Future Directions of Mental Health Chatbots 98
4.12 Limitations 100
4.13 The Goal of Stigma-Free Mental Health and a Stigma-Free Future 101
4.14 Conclusion 101
5 Financial Barriers and Strategic Solutions in Technology Adoption for Mental Health Stigma 105
Ram Singh, Vinay Pal Singh, Rishi Raj, Ritu Yadav, Fazla Rabby and Sachin Chauhan
5.1 Introduction 106
5.2 Review of Literature 111
5.3 Objectives and Research Methodology 112
5.4 Financial Barriers to Adopting Technological Solutions in Mental Health Care 113
5.5 Initial Costs of Technology Implementation 115
5.6 Sustained Operational Costs 116
5.7 Limited Funding and Reimbursement Models 117
5.8 Economic Inequities and Access Disparities 118
5.9 Addressing Financial Barriers: Strategic Solutions 118
5.10 Benefits and Challenges of Technology Adoption in Mental Health 120
5.11 Benefits 121
5.12 Challenges 122
5.13 Impact of Technology Adoption on Mental Health Care 123
5.14 Conclusion and Future Scope 124
6 Understanding the Impact of AI on the Mental Health of Employees 131
Renuka Kapoor, Poonam Khurana and Swati Narula
6.1 Introduction 132
6.2 Artificial Intelligence (AI) 133
6.3 Mental Health 142
6.4 Methodology 145
6.5 Impacts of AI on the Mental Health of Employees 145
6.6 Conclusion 149
7 AI for Happy Minds: Tackling Mental Health Stigma and Boosting Social Intelligence in Gen Z 155
Ankita Sharma, Sunil Kumar and Ridhima Sharma
7.1 Introduction 156
7.2 Social Intelligence: The Framework of Understanding Gen Z Happiness 158
7.3 Social Intelligence and the Happiness Index 160
7.4 Impact of Social Intelligence on Key Determinants of Happiness 161
7.5 Barriers to Developing Social Intelligence for Gen Z 162
7.6 Knowledge Gaps in Developing Social Intelligence for Gen Z 164
7.7 Addressing Gaps in Education: Bridging the Development of Academic and Social Intelligence 166
7.8 Limitations of Further Studies 167
7.9 Contribution to Future Research 169
7.10 Conclusion 170
Part II: Machine Learning Meets Mindfulness: Leveraging AI for Mental Well-Being 175
8 Ugly Truth About Technology and Mental Health Stigma 177
Sachin, Vineet Kumar, Popu Ram, Palvi, Saurabh Singh, Dileep Singh Baghel, Bimlesh Kumar and Narendra Kumar Pandey
8.1 Introduction 178
8.2 Psychological Impacts of Technology-Induced Stigma 179
8.3 The Impact of AI 183
8.4 Social Media's Impact on Mental Health Stigma 190
8.5 Misinformation and the Spread of Myths About Mental Health 191
8.6 The Effects of Technology on Help-Seeking Behavior 192
8.7 The Role of Tech Companies and Policymakers 192
8.8 Negative Consequences of Stigma Around Mental Health 193
8.9 The Sustaining of Mental Health Stigma via Technology 193
8.10 The Impact of Technology on Current Mental Health 194
8.11 Conclusion 197
9 ChatGPT (AI) vs. Standardized Psychological Testing: A Comparative Study on Anxiety Among Working Professionals in UAE 203
Maanasa Kirthivasan and Aradhana Balodi Bhardwaj
9.1 Introduction 204
9.2 Review of Literature 207
9.3 Methodology 214
9.4 Result Analysis 222
9.5 Discussion 230
9.6 Limitations 232
9.7 Conclusions and Implications 233
10 Predictive Analysis for Mental Health Stigma: Self-Awareness Alleviates Mental and Physical Illnesses 239
Prerna Chowdhary Siroya and Jihene Mrabet
10.1 Introduction 240
10.2 Review of Literature 240
10.3 Methodology 246
10.4 Results for SAOQ Scale 248
10.5 Data Analysis for Interview 252
10.6 Findings 253
10.7 Discussion 268
10.8 Conclusion 276
11 Navigating Mental Health Stigma in the Age of AI: Benefits and Risks 283
Mahshid Manouchehri, Aaras Y. Kraidi and Aradhana Balodi Bhardwaj
11.1 Introduction 283
11.2 Theories of Stigma and their Application to AI 285
11.3 AI Techniques in Mental Health Care 289
11.4 Impact of AI on Mental Health Stigma 292
11.5 Case Studies of AI in Mental Health and their Implications for Stigma 294
11.6 Ethical Considerations in AI and Mental Health 298
11.7 AI and the Future of Mental Health Stigma 301
11.8 Socio-Cultural Implications of AI in Mental Health 303
11.9 Conclusion and Recommendations 307
12 Breaking Barriers - Understanding Mental Health Stigma - Concepts, Challenges, and Intervention Strategies 313
Pankhuri Sharma and Meenakshi Gandhi
12.1 Introduction 314
12.2 Research Methodology 320
12.3 Measurement of Mental Health Stigma 321
12.4 Strategies to Reduce Mental Illness Stigma 325
12.5 Policy Formation 328
12.6 AI in Mental Health Stigma Intervention 331
12.7 Future Directions in Combating Mental Health Stigma 332
12.8 Conclusion 332
13 Mental Health and Artificial Intelligence: A Case of Tourism Industry 335
Jatin Vaid
13.1 Mental Health 335
13.2 Artificial Intelligence (AI) 341
13.3 AI and Tourism 344
13.4 Mental Health and Tourism 347
14 AI-Driven Educational Resources for Mental Health Promotion: Reducing Stigma and Empowering Individuals 353
Abhinav Sharma, Ankur Kumar, Gunjan Shuklaa and Surita Maini
14.1 Introduction 353
14.2 The Role of AI in Mental Health Education 355
14.3 Reducing Mental Health Stigma with AI-Driven Resources 359
14.4 Applications of AI to Mental Health Status 363
14.5 Empowering People with AI-Powered Mental Health Resources 366
14.6 Challenges and Considerations 370
14.7 How Does AI Reduce Stigma 375
14.8 Conclusion 378
15 Stigma, Society, and Systems: Integrating AI with Mental Health Interventions 383
Priya Chetty, Gayatri Chopra and Mamta Gupta
15.1 Introduction 384
15.2 Significance of Addressing Mental Health Stigma 384
15.3 AI and Machine Learning and Mental Health Stigma 386
15.4 Types of Mental Health Stigma 387
15.5 Consequences of Mental Health Stigma on Individuals and Society 389
15.6 Traditional Strategies to Combat Stigma: Strengths and Limitations 393
15.7 AI and Machine Learning Applications in Mental Health Stigma 395
15.8 Data Privacy and Ethical Considerations in AI for Mental Health 398
15.9 Chatbot's Role in Reducing Mental Health Stigma 399
15.10 Summary of the Chapter 400
16 Leveraging Sentiment Analysis to Encounter Mental Health Stigma: Insights, Strategies, and Impact 405
Uma Gulati, Astha Shukla and Vivek Singh Sachan
16.1 Introduction 406
16.2 Mental Health Stigma and Its Impact 409
16.3 Sentiment Analysis: An Overview 410
16.4 Sentiment Analysis in Mental Health Research 413
16.5 Social Trends and Mental Health Stigma 415
16.6 NLP and Natural Language Understanding in Sentiment Analysis 417
16.7 Strategies for Countering Mental Health Stigma Using Sentiment Analysis 417
16.8 Challenges in Using Sentiment Analysis for Mental Health 418
16.9 Future Directions 420
16.10 Conclusion 420
References 421
Index 425
