Confronting Mental Health Stigma with AI and Machine Learning

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.

• Preface xxiPart I: Exploring the Intersection of Technology, Artificial Intelligence, and Mental Health Stigma—Challenges, Innovations, and Future Directions 11 Beyond the Likes and Shares: Navigating Technology's Impact on Adolescents' Mental Health Perceptions and Stigma 3Abhirami S. Manjari1.1 Influence of Technology on Adolescent Lives 41.2 Technology and Mental Health Stigma Among Adolescents 61.3 The Digital Landscape: Opportunities and Challenges 91.4 Impact of Cultural and Social Determinants on Mental Health Stigma and Technology Use 141.5 Successful Examples of Leveraging Technology's Potential for Positive Outcomes 151.6 Best Practices for Effectively Using Technology to Reduce Stigma 181.7 Future Directions and Recommendations 191.8 Conclusion 212 Leveraging Artificial Intelligence to Mitigate Mental Health Stigma in India: An Evidence-Based Analysis 33Ritu Pareek2.1 Introduction 342.2 Artificial Intelligence (AI) and India's Mental Health Stigma 402.3 Improved Pattern Identification and Prompt Diagnosis 442.4 AI-Driven Tools for Mental Health Services 462.5 Dealing with Stigma and Promoting Help-Seeking 492.6 Challenges in AI Integration 502.7 Techniques for Safeguarding AI 532.8 Results and Discussion 552.9 Recommendations 562.10 Conclusion 583 The AI Revolution in Mental Health: Beyond Traditional Paradigms 63Durgeshwary Kolhe, Arshad Bhat and Mehvish3.1 Introduction 643.2 Research Methodology 663.3 The Convergence of AI and Mental Health 673.4 Education and Workforce Training 703.5 Cultural Sensitivity in AI Applications 723.6 Beyond the Hype-Real-World Implications 753.7 The Future Landscape of Mental Health with AI 773.8 Conclusion 784 Role and Application of Supportive Chatbots and Virtual Assistants in Confronting Mental Stigma with AI and ML 83Monirul Islam4.1 Introduction 844.2 Research Problem and Gap 864.3 Research Methodology 864.4 Understanding Mental Health Stigma with AI/ML 864.5 Development of Supportive Chatbots 884.6 History of AI-Powered Chatbots 924.7 Case Studies 924.8 Mental Health and Chatbots 934.9 Functions of Mental Health Chatbots 954.10 Ethical Considerations and Potential Risks and Misuse 974.11 Challenges and Future Directions of Mental Health Chatbots 984.12 Limitations 1004.13 The Goal of Stigma-Free Mental Health and a Stigma-Free Future 1014.14 Conclusion 1015 Financial Barriers and Strategic Solutions in Technology Adoption for Mental Health Stigma 105Ram Singh, Vinay Pal Singh, Rishi Raj, Ritu Yadav, Fazla Rabby and Sachin Chauhan5.1 Introduction 1065.2 Review of Literature 1115.3 Objectives and Research Methodology 1125.4 Financial Barriers to Adopting Technological Solutions in Mental Health Care 1135.5 Initial Costs of Technology Implementation 1155.6 Sustained Operational Costs 1165.7 Limited Funding and Reimbursement Models 1175.8 Economic Inequities and Access Disparities 1185.9 Addressing Financial Barriers: Strategic Solutions 1185.10 Benefits and Challenges of Technology Adoption in Mental Health 1205.11 Benefits 1215.12 Challenges 1225.13 Impact of Technology Adoption on Mental Health Care 1235.14 Conclusion and Future Scope 1246 Understanding the Impact of AI on the Mental Health of Employees 131Renuka Kapoor, Poonam Khurana and Swati Narula6.1 Introduction 1326.2 Artificial Intelligence (AI) 1336.3 Mental Health 1426.4 Methodology 1456.5 Impacts of AI on the Mental Health of Employees 1456.6 Conclusion 1497 AI for Happy Minds: Tackling Mental Health Stigma and Boosting Social Intelligence in Gen Z 155Ankita Sharma, Sunil Kumar and Ridhima Sharma7.1 Introduction 1567.2 Social Intelligence: The Framework of Understanding Gen Z Happiness 1587.3 Social Intelligence and the Happiness Index 1607.4 Impact of Social Intelligence on Key Determinants of Happiness 1617.5 Barriers to Developing Social Intelligence for Gen Z 1627.6 Knowledge Gaps in Developing Social Intelligence for Gen Z 1647.7 Addressing Gaps in Education: Bridging the Development of Academic and Social Intelligence 1667.8 Limitations of Further Studies 1677.9 Contribution to Future Research 1697.10 Conclusion 170Part II: Machine Learning Meets Mindfulness: Leveraging AI for Mental Well-Being 1758 Ugly Truth About Technology and Mental Health Stigma 177Sachin, Vineet Kumar, Popu Ram, Palvi, Saurabh Singh, Dileep Singh Baghel, Bimlesh Kumar and Narendra Kumar Pandey8.1 Introduction 1788.2 Psychological Impacts of Technology-Induced Stigma 1798.3 The Impact of AI 1838.4 Social Media's Impact on Mental Health Stigma 1908.5 Misinformation and the Spread of Myths About Mental Health 1918.6 The Effects of Technology on Help-Seeking Behavior 1928.7 The Role of Tech Companies and Policymakers 1928.8 Negative Consequences of Stigma Around Mental Health 1938.9 The Sustaining of Mental Health Stigma via Technology 1938.10 The Impact of Technology on Current Mental Health 1948.11 Conclusion 1979 ChatGPT (AI) vs. Standardized Psychological Testing: A Comparative Study on Anxiety Among Working Professionals in UAE 203Maanasa Kirthivasan and Aradhana Balodi Bhardwaj9.1 Introduction 2049.2 Review of Literature 2079.3 Methodology 2149.4 Result Analysis 2229.5 Discussion 2309.6 Limitations 2329.7 Conclusions and Implications 23310 Predictive Analysis for Mental Health Stigma: Self-Awareness Alleviates Mental and Physical Illnesses 239Prerna Chowdhary Siroya and Jihene Mrabet10.1 Introduction 24010.2 Review of Literature 24010.3 Methodology 24610.4 Results for SAOQ Scale 24810.5 Data Analysis for Interview 25210.6 Findings 25310.7 Discussion 26810.8 Conclusion 27611 Navigating Mental Health Stigma in the Age of AI: Benefits and Risks 283Mahshid Manouchehri, Aaras Y. Kraidi and Aradhana Balodi Bhardwaj11.1 Introduction 28311.2 Theories of Stigma and their Application to AI 28511.3 AI Techniques in Mental Health Care 28911.4 Impact of AI on Mental Health Stigma 29211.5 Case Studies of AI in Mental Health and their Implications for Stigma 29411.6 Ethical Considerations in AI and Mental Health 29811.7 AI and the Future of Mental Health Stigma 30111.8 Socio-Cultural Implications of AI in Mental Health 30311.9 Conclusion and Recommendations 30712 Breaking Barriers — Understanding Mental Health Stigma — Concepts, Challenges, and Intervention Strategies 313Pankhuri Sharma and Meenakshi Gandhi12.1 Introduction 31412.2 Research Methodology 32012.3 Measurement of Mental Health Stigma 32112.4 Strategies to Reduce Mental Illness Stigma 32512.5 Policy Formation 32812.6 AI in Mental Health Stigma Intervention 33112.7 Future Directions in Combating Mental Health Stigma 33212.8 Conclusion 33213 Mental Health and Artificial Intelligence: A Case of Tourism Industry 335Jatin Vaid13.1 Mental Health 33513.2 Artificial Intelligence (AI) 34113.3 AI and Tourism 34413.4 Mental Health and Tourism 34714 AI-Driven Educational Resources for Mental Health Promotion: Reducing Stigma and Empowering Individuals 353Abhinav Sharma, Ankur Kumar, Gunjan Shuklaa and Surita Maini14.1 Introduction 35314.2 The Role of AI in Mental Health Education 35514.3 Reducing Mental Health Stigma with AI-Driven Resources 35914.4 Applications of AI to Mental Health Status 36314.5 Empowering People with AI-Powered Mental Health Resources 36614.6 Challenges and Considerations 37014.7 How Does AI Reduce Stigma 37514.8 Conclusion 37815 Stigma, Society, and Systems: Integrating AI with Mental Health Interventions 383Priya Chetty, Gayatri Chopra and Mamta Gupta15.1 Introduction 38415.2 Significance of Addressing Mental Health Stigma 38415.3 AI and Machine Learning and Mental Health Stigma 38615.4 Types of Mental Health Stigma 38715.5 Consequences of Mental Health Stigma on Individuals and Society 38915.6 Traditional Strategies to Combat Stigma: Strengths and Limitations 39315.7 AI and Machine Learning Applications in Mental Health Stigma 39515.8 Data Privacy and Ethical Considerations in AI for Mental Health 39815.9 Chatbot's Role in Reducing Mental Health Stigma 39915.10 Summary of the Chapter 40016 Leveraging Sentiment Analysis to Encounter Mental Health Stigma: Insights, Strategies, and Impact 405Uma Gulati, Astha Shukla and Vivek Singh Sachan16.1 Introduction 40616.2 Mental Health Stigma and Its Impact 40916.3 Sentiment Analysis: An Overview 41016.4 Sentiment Analysis in Mental Health Research 41316.5 Social Trends and Mental Health Stigma 41516.6 NLP and Natural Language Understanding in Sentiment Analysis 41716.7 Strategies for Countering Mental Health Stigma Using Sentiment Analysis 41716.8 Challenges in Using Sentiment Analysis for Mental Health 41816.9 Future Directions 42016.10 Conclusion 420References 421Index 425