Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
The utilization of artificial intelligence (AI) is on the rapid rise in organizations across the world. The perceived benefits of AI, such as enhanced operations, improved efficiency, and a driver of growth, are some reasons for its increased adoption. The side effects of leveraging AI on people are becoming apparent, and one of these is loneliness. Loneliness can be the cause of or exacerbate mental and physical health issues. This paper outlines the current state of loneliness contributed by AI usage in the workplace. This paper hopes to inform future research to ideate AI solutions that ameliorate said issues. The Job Demands–Resources model and Bright ICT Initiative taxonomy are drawn on to inform the study. Causal loop diagrams are utilized to understand the effect of AI on mental and physical health. We leverage systems thinking to understand the issues and identify appropriate solutions for ameliorating loneliness in the workplace.
Recommended Citation
Patel, Roshni; Peko, Gabrielle; and Sundaram, David, "Artificial Intelligence in the Workplace a Paradox: Contributor to Loneliness and Enhancer of Organisational and Employee Health" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 14.
https://aisel.aisnet.org/hicss-58/cl/ai_and_future_work/14
Artificial Intelligence in the Workplace a Paradox: Contributor to Loneliness and Enhancer of Organisational and Employee Health
Hilton Waikoloa Village, Hawaii
The utilization of artificial intelligence (AI) is on the rapid rise in organizations across the world. The perceived benefits of AI, such as enhanced operations, improved efficiency, and a driver of growth, are some reasons for its increased adoption. The side effects of leveraging AI on people are becoming apparent, and one of these is loneliness. Loneliness can be the cause of or exacerbate mental and physical health issues. This paper outlines the current state of loneliness contributed by AI usage in the workplace. This paper hopes to inform future research to ideate AI solutions that ameliorate said issues. The Job Demands–Resources model and Bright ICT Initiative taxonomy are drawn on to inform the study. Causal loop diagrams are utilized to understand the effect of AI on mental and physical health. We leverage systems thinking to understand the issues and identify appropriate solutions for ameliorating loneliness in the workplace.
https://aisel.aisnet.org/hicss-58/cl/ai_and_future_work/14