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
Organizations' decision-making processes are increasingly supported by novel AI applications. While intelligent systems appear promising for enhancing various professional tasks, domain experts’ perceptions of the adoption and use of AI remain understudied. Following a human-centered design approach, this qualitative interview study (N=15) explores the potential of AI applications from recruitment experts’ perspectives. The results of the study emphasize the collaborative nature of AI: recruitment experts anticipate AI to augment their expertise positioning as a complementary information source. Domain experts would then evaluate and justify this outcome according to certain recruitment situations and combined with recruitment experts’ tacit knowledge. Novel AI applications are expected to align with underlying social and societal factors that guide the domain experts’ work practices. The results provide qualitative understanding into domain experts’ user experience and human-AI collaboration in knowledge work, offering insight into human-centered AI design and development.
Recommended Citation
Ala-Luopa, Saara; Koivunen, Sami; Olsson, Thomas; and Väänänen, Kaisa, "Considerations on Human-AI Collaboration in Knowledge Work – Recruitment Experts’ Needs and Expectations" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 6.
https://aisel.aisnet.org/hicss-57/cl/ai_and_future_work/6
Considerations on Human-AI Collaboration in Knowledge Work – Recruitment Experts’ Needs and Expectations
Hilton Hawaiian Village, Honolulu, Hawaii
Organizations' decision-making processes are increasingly supported by novel AI applications. While intelligent systems appear promising for enhancing various professional tasks, domain experts’ perceptions of the adoption and use of AI remain understudied. Following a human-centered design approach, this qualitative interview study (N=15) explores the potential of AI applications from recruitment experts’ perspectives. The results of the study emphasize the collaborative nature of AI: recruitment experts anticipate AI to augment their expertise positioning as a complementary information source. Domain experts would then evaluate and justify this outcome according to certain recruitment situations and combined with recruitment experts’ tacit knowledge. Novel AI applications are expected to align with underlying social and societal factors that guide the domain experts’ work practices. The results provide qualitative understanding into domain experts’ user experience and human-AI collaboration in knowledge work, offering insight into human-centered AI design and development.
https://aisel.aisnet.org/hicss-57/cl/ai_and_future_work/6