Leveraging AI to Transform Teen Mental Health Support
Demo of AI for the Teen Talk App
DOI:
https://doi.org/10.58445/rars.1775Keywords:
AI, mental health, ChatGPTAbstract
Artificial intelligence (AI) has shown significant progress in addressing social welfare and healthcare issues. Mental illness is a serious problem where AI and machine learning applications can have a significant impact such as therapeutic chatbots, virtual assistants, predictive modeling, early diagnosis, and personalized treatment plans. As part of our volunteer work as teen advisors at the Teen Talk App program, we identified several opportunities to assist teens struggling with mental health issues using AI and Machine Learning technology. This paper presents our pragmatic approach to supporting mental health professionals by creating chatbots and AI assistants. We used Chat GPT LLM models with Kaggle datasets and knowledge retrieval tools to build chatbots and AI Assistants to provide helpful resources and prompts to mental health advisors while supporting teens at risk. Our model leverages a Machine Learning based algorithm for intent detection to proactively identify intent for self-harm and alert the advisors to escalate the chat. We also discuss AI risks such as AI bias, ethical considerations, security and privacy risks, responsible AI, and mitigation strategies to manage the AI risks. Our research indicates that AI has significant potential to transform mental health services though concerns regarding AI risk remain.
References
National Alliance on Mental Illness. (2024, March 18). Mental Health Conditions | NAMI. NAMI. https://www.nami.org/about-mental-illness/mental-health-conditions/
Insel, T. (2023, December 8). America’s mental health crisis. https://www.pewtrusts.org/en/trend/archive/fall-2023/americas-mental-health-crisis
World Health Organization: WHO. (2019, May 30). Social determinants of health. https://www.who.int/health-topics/social-determinants-of-health#tab=tab_1
Xiao, Y., Mann, J. J., Chow, J. C., Brown, T. T., Snowden, L. R., Yip, P. S., Tsai, A. C., Hou, Y., Pathak, J., Wang, F., & Su, C. (2023). Patterns of social determinants of health and child mental health, cognition, and physical health. JAMA Pediatrics, 177(12), 1294. https://doi.org/10.1001/jamapediatrics.2023.4218
Social Determinants of Health (SDH). (2010, July 13). A conceptual framework for action on the social determinants of health. https://www.who.int/publications/i/item/9789241500852
Social determinants of health. (2024, February 7). Health Disparities in HIV, Viral Hepatitis, STDs, & Tuberculosis. https://www.cdc.gov/health-disparities-hiv-std-tb-hepatitis/about/social-determinants-of health.html
The Relative Contribution of Multiple Determinants to health | Health Affairs Brief. (n.d.). https://www.healthaffairs.org/content/briefs/relative-contribution-multiple-determinants-health
The state of mental health in America. (n.d.). Mental Health America. https://www.mhanational.org/issues/state-mental-health-america
Minerva, F., & Giubilini, A. (2023). Is AI the future of mental healthcare? Topoi, 42(3), 809–817. https://doi.org/10.1007/s11245-023-09932-3
Woebot Health. (2024, June 5). Scalable enterprise solution for mental health | Woebot Health. https://woebothealth.com/
Mental Health, Brain Health and Substance Use (MSD). (2021, September 21). Comprehensive Mental Health Action Plan 2013-2030. https://www.who.int/publications/i/item/9789240031029?ua=1
Mental Health Atlas 2011. (2024, June 20). https://www.who.int/publications/i/item/9799241564359
Ledford, H. (2019). Millions of black people affected by racial bias in health-care algorithms. Nature, 574(7780), 608–609. https://doi.org/10.1038/d41586-019-03228-6
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aax2342
Mattu, J. L. a. K. (2023, December 20). How we analyzed the COMPAS Recidivism Algorithm. ProPublica. https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm
Dastin, J. (2018, October 10). Insight - Amazon scraps secret AI recruiting tool that showed bias against women. Reuters. https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G/
Brooks, M. (2023, October 19). AI Chatbot “Hallucinates” faulty medical intelligence. Medscape. https://www.medscape.com/viewarticle/997510?form=fpf
Chen, S., Kann, B. H., Foote, M. B., Aerts, H. J. W. L., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023). Use of artificial intelligence chatbots for cancer treatment information. JAMA Oncology, 9(10), 1459. https://doi.org/10.1001/jamaoncol.2023.2954
Wehner, G. (2023, February 20). Microsoft AI chatbot threatens to expose personal info and ruin a user’s reputation. Fox Business. https://www.foxbusiness.com/technology/microsoft-ai-chatbot-threatens-expose-personal-info-ruin-users-reputation
Chilton, C. (2023, December 18). Chevy dealers’ ChatGPT bots recommend Teslas, BMWs, Fords, Toyotas and Rivians. Carscoops. https://www.carscoops.com/2023/12/chevy-dealers-ai-chatbots-are-recommending-teslas-bmws-fords-toyotas-and-rivians/
Lee, D. (2016, March 25). Tay: Microsoft issues apology over racist chatbot fiasco. BBC News. https://www.bbc.com/news/technology-35902104
Future of Life Institute. (2023, June 8). Autonomous Weapons Open Letter: AI & Robotics Researchers - Future of Life Institute. https://futureoflife.org/open-letter/open-letter-autonomous-weapons-ai-robotics/
AI Act. (2024, May 29). Shaping Europe’s Digital Future. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
Singapore’s model framework balances innovation and trust in AI - OECD.AI. (n.d.). https://oecd.ai/en/wonk/singapores-model-framework-to-balance-innovation-and-trust-in-ai'
Computer Security Division, Information Technology Laboratory, National Institute of Standards and Technology, U.S. Department of Commerce. (n.d.). About the RMF - NIST Risk Management Framework | CSRC | CSRC. https://csrc.nist.gov/projects/risk-management/about-rmf
Teen Talk – Just another Jewish Big Brothers Big Sisters of Los Angeles site. (n.d.). https://www.teentalkapp.org/
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