Investigating the Future Role of AI in Therapeutic Settings and whether AI will Eventually Supplement or Replace Human Counselors
DOI:
https://doi.org/10.47067/ramss.v8i1.442Keywords:
Artificial Intelligence (AI), Mental Health Therapy, AI-driven Applications, Correlation Analysis, Regression Analysis, Post-hoc Statistics, Therapeutic InterventionsAbstract
This study examines the existing role and prospects of Artificial Intelligence (AI) in mental health therapy, evaluating whether AI can augment or supplant human counselors. This research employs a quantitative methodology on a sample of seven Pakistani startups that provide AI-driven mental health solutions. The CEOs of these firms were approached with a self-administered questionnaire to collect data on the effectiveness, limitations, and potential of AI in providing therapeutic interventions. The gathered data underwent correlation analysis, regression analysis, and post-hoc statistics to identify linkages and trends. Statistical research demonstrated a strong association between the accessibility and scalability of AI and treatment outcomes, whereas the limitations of AI were apparent in addressing complex mental health issues. Furthermore, AI was determined to augment rather than supplant human therapists, with notable disparities observed across various organizational sizes. The study emphasizes the supportive function of AI in mental health therapy, while underscoring critical attributes of human counselors, such as empathy and personalized care.
References
Aldred, R. (2011). From community participation to organizational therapy? World Cafe and Appreciative Inquiry as research methods. Community development journal, 46(1), 57-71.
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., & Badreldin, H. A. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education, 23(1), 689.
Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., bin Saleh, K., Alowais, S. A., Alshaya, O. A., Rahman, I., & Al Yami, M. S. (2023). The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research. Research in Social and Administrative Pharmacy, 19(8), 1236-1242.
Arif, M., Irfan, S., Shaoan, M. M. R., & Ali, W. (2024). AI And Machine Learning In Islamic Guidance: Opportunities, Ethical Considerations, And Future Directions. Guidance: Jurnal Bimbingan dan Konseling, 21(02), 429-451.
Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI.
Becker, A. (2019). Artificial intelligence in medicine: What is it doing for us today? Health Policy and Technology, 8(2), 198-205.
Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., & Dunn, I. F. (2019). Artificial intelligence in cancer imaging: clinical challenges and applications. CA: a cancer journal for clinicians, 69(2), 127-157.
Bickman, L. (2020). Improving mental health services: A 50-year journey from randomized experiments to artificial intelligence and precision mental health. Administration and Policy in Mental Health and Mental Health Services Research, 47(5), 795-843.
Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Parks, A. C., & Zilca, R. (2021). Artificially intelligent chatbots in digital mental health interventions: a review. Expert Review of Medical Devices, 18(sup1), 37-49.
Brinton, E. A. (1996). Oral estrogen replacement therapy in postmenopausal women selectively raises levels and production rates of lipoprotein AI and lowers hepatic lipase activity without lowering the fractional catabolic rate. Arteriosclerosis, thrombosis, and vascular biology, 16(3), 431-440.
Burstein, H. J., Lacchetti, C., Anderson, H., Buchholz, T. A., Davidson, N. E., Gelmon, K. E., Giordano, S. H., Hudis, C. A., Solky, A. J., & Stearns, V. (2016). Adjuvant endocrine therapy for women with hormone receptor–positive breast cancer: American Society of Clinical Oncology clinical practice guideline update on ovarian suppression. Journal of Clinical Oncology, 34(14), 1689-1701.
Burstein, H. J., Somerfield, M. R., Barton, D. L., Dorris, A., Fallowfield, L. J., Jain, D., Johnston, S. R., Korde, L. A., Litton, J. K., & Macrae, E. R. (2021). Endocrine treatment and targeted therapy for hormone receptor–positive, human epidermal growth factor receptor 2–negative metastatic breast cancer: ASCO guideline update. Journal of Clinical Oncology, 39(35), 3959-3977.
Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. Information Systems Frontiers, 25(1), 161-182.
D'alfonso, S., Santesteban-Echarri, O., Rice, S., Wadley, G., Lederman, R., Miles, C., Gleeson, J., & Alvarez-Jimenez, M. (2017). Artificial intelligence-assisted online social therapy for youth mental health. Frontiers in Psychology, 8, 796.
Fieker, A., Philpott, J., & Armand, M. (2011). Enzyme replacement therapy for pancreatic insufficiency: present and future. Clinical and experimental gastroenterology, 55-73.
Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Kim, H.-C., & Jeste, D. V. (2019). Artificial intelligence for mental health and mental illnesses: an overview. Current psychiatry reports, 21, 1-18.
Habib, H., Jelani, S. A. K., Numair, H., & Mubeen, S. (2019). Enhancing Communication Skills: AI Technologies for Students with Speech and Language Needs. Journal of Multidisciplinary Research, 5(01).
Hurkmans, C., Bibault, J.-E., Brock, K. K., van Elmpt, W., Feng, M., Fuller, C. D., Jereczek-Fossa, B. A., Korreman, S., Landry, G., & Madesta, F. (2024). A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy. Radiotherapy and Oncology, 197, 110345.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4).
Jones, L. W., & Alfano, C. M. (2013). Exercise-oncology research: past, present, and future. Acta oncologica, 52(2), 195-215.
Kanbach, D. K., Heiduk, L., Blueher, G., Schreiter, M., & Lahmann, A. (2024). The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective. Review of Managerial Science, 18(4), 1189-1220.
Khanna, N. N., Maindarkar, M. A., Viswanathan, V., Fernandes, J. F. E., Paul, S., Bhagawati, M., Ahluwalia, P., Ruzsa, Z., Sharma, A., & Kolluri, R. (2022). Economics of artificial intelligence in healthcare: diagnosis vs. treatment. Healthcare,
Kretzschmar, K., Tyroll, H., Pavarini, G., Manzini, A., Singh, I., & Group, N. Y. P. s. A. (2019). Can your phone be your therapist? Young people’s ethical perspectives on the use of fully automated conversational agents (chatbots) in mental health support. Biomedical informatics insights, 11, 1178222619829083.
Liopyris, K., Gregoriou, S., Dias, J., & Stratigos, A. J. (2022). Artificial intelligence in dermatology: challenges and perspectives. Dermatology and Therapy, 12(12), 2637-2651.
Luxton, D. D. (2016). An introduction to artificial intelligence in behavioral and mental health care. In Artificial intelligence in behavioral and mental health care (pp. 1-26). Elsevier.
Montani, S. (2008). Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support. Applied Intelligence, 28, 275-285.
Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., & Sra, M. (2021). AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3(12), 1013-1022.
Saheb, T., Saheb, T., & Carpenter, D. O. (2021). Mapping research strands of ethics of artificial intelligence in healthcare: a bibliometric and content analysis. Computers in Biology and Medicine, 135, 104660.
Saraswat, S., Keswani, B., & Saraswat, V. (2023). The role of artificial intelligence in healthcare: applications and challenges after COVID-19. IJTRS Apr.
Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in human behavior reports, 1, 100014.
Sharma, A. (2024). Artificial intelligence in healthcare. In Revolutionizing the Healthcare Sector with AI (pp. 1-25). IGI Global.
Topol, E. (2019). Deep medicine: how artificial intelligence can make healthcare human again. Hachette UK.
Tran, V.-T., Riveros, C., & Ravaud, P. (2019). Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort. NPJ digital medicine, 2(1), 53.
Velagaleti, S. B., Choukaier, D., Nuthakki, R., Lamba, V., Sharma, V., & Rahul, S. (2024). Empathetic Algorithms: The Role of AI in Understanding and Enhancing Human Emotional Intelligence. Journal of Electrical Systems, 20(3s), 2051-2060.