Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
The increasing trends of developing and using artificial intelligence (AI) in organizations and industries are not without consequence to work practices. Theoretical suggestions for humans to collaborate with AI clash with the empirical studies, which highlight problems with implementing and using AI systems. We investigate this phenomenon through the practice lens of tensions in a Nordic renewable energy organization’s digital transformation (DT) effort. Following an ethnographic case study, we uncover four tensions felt by experts across knowledge boundaries, in group collaboration settings, disrupting normal work practices and taxing additional organizational resources. Through these tensions, we reflect on the softer and less dramatic changes and dynamics of human-AI collaboration for emerging work practices and DT in an organizational setting.
Recommended Citation
Mohanty, Pooja; Grundstrom, Casandra; Monteiro, Eric; and Zhang, Zhenyou, "Tensions in the transition of Human-AI Collaboration: A Case Study of the Nordic Renewable Energy Sector" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 12.
https://aisel.aisnet.org/hicss-57/cl/ai_and_future_work/12
Tensions in the transition of Human-AI Collaboration: A Case Study of the Nordic Renewable Energy Sector
Hilton Hawaiian Village, Honolulu, Hawaii
The increasing trends of developing and using artificial intelligence (AI) in organizations and industries are not without consequence to work practices. Theoretical suggestions for humans to collaborate with AI clash with the empirical studies, which highlight problems with implementing and using AI systems. We investigate this phenomenon through the practice lens of tensions in a Nordic renewable energy organization’s digital transformation (DT) effort. Following an ethnographic case study, we uncover four tensions felt by experts across knowledge boundaries, in group collaboration settings, disrupting normal work practices and taxing additional organizational resources. Through these tensions, we reflect on the softer and less dramatic changes and dynamics of human-AI collaboration for emerging work practices and DT in an organizational setting.
https://aisel.aisnet.org/hicss-57/cl/ai_and_future_work/12