Human-AI Collaboration for Enhancing Delivery Workers’ Well-Being in the UAE: A Socio-Technical Approach
DOI:
https://doi.org/10.1609/aaaiss.v6i1.36062Abstract
This paper presents research about Human-AI collaboration in the United Arab Emirates food delivery sphere. The main part of the work is qualitative research, which served as a base for further findings, hypotheses, recommendations, and possi-ble solutions. Key insights reveal that stress factors such as traffic, financial instability, lack of corporate support, and long working hours make a significant impact on the mental health of food-delivery workers, leading to burnout and emotional exhaustion. This research suggests different options for solving this problem based on conducted interviews, a study with a large theoretical base, and artificial intelligence implementation. Our paper concludes that effective implementation requires a balance between innovations, company responsibility, and cultural norms to create sustainable solutions for food-delivery workers well-being.Downloads
Published
2025-08-01
How to Cite
Keirmov, A., Ajike, A. J., Nabila, N., & Isa Alsaif, A. (2025). Human-AI Collaboration for Enhancing Delivery Workers’ Well-Being in the UAE: A Socio-Technical Approach. Proceedings of the AAAI Symposium Series, 6(1), 271–276. https://doi.org/10.1609/aaaiss.v6i1.36062
Issue
Section
Human-AI Collaboration: Exploring Diversity of Human Cognitive Abilities and Varied AI Models for Hybrid Intelligent Systems