Abstract
Mental health can be interpreted as a social taboo in Asia, ensuring that students with mental health stigmas (SWMHS) face complex educational journeys that impact their wellbeing. This article provides a conceptual interdisciplinary commentary that illustrates how in Asian higher education (HE) settings, the psychosocial phenomena of face culture, a sociolinguistic blend of high-context power relations, sense-making, and cultural capital, defines human-to-human (HTH) dialogue. It suggests that human-to-computer-interaction (HCI) through artificial intelligence (AI) technologies, such as ChatGPT, could improve university wellbeing strategies in Asia. The article situates AI discussion into the sociolinguistic features of face culture in Thailand and China through an ethnographic postmodernist lens. The article concludes with a modest conceptual model, considering cultural dimensions and student wellbeing in universities, alongside the ethical implications of using AI to improve mental health in post COVID-19 Asian HE.
Recommended Citation
Day, Michael James
(2023)
"Towards Ethical Artificial Intelligence in Universities: ChatGPT, Culture, and Mental Health Stigmas in Asian Higher Education Post COVID-19,"
Journal of Technology in Counselor Education and Supervision: Vol. 4:
Iss.
1, Article 7.
DOI: https://doi.org/10.61888/2692-4129.1097
Available at:
https://digital.sandiego.edu/tces/vol4/iss1/7
