As organizations embed algorithmic agents in operations, alignment is presumed to make human–AI teams safer and more effective. Yet it leaves the orientation of alignment unexamined, that is, what humans and agents actually coordinate around.
Drawing on bricolage theory, this study distinguishes three orient...
T. Cao, Wen-Xin Mu, Pei Wu et al.· Human Systems Management· 0 citations
Project experience is distributed across individuals, project artifacts, team interactions, and organizational arrangements, making its transfer across project and temporal boundaries a multilevel systems challenge. Although after-action reviews, debriefs, retrospectives, postmortems, project reviews, and lessons-learn...
Tong-Yu Zhang, J. Gou, Gu-Quan Liu et al.· Systems· 0 citations
Results from the proof‐of‐concept and proof‐of‐value evaluations provide initial evidence that the IATReBS method can help participants identify AI teammate requirements in complex problem‐solving contexts, particularly regarding feasibility, usability and perceived usefulness.
Wen-Qiang Li, J. Gou, L. Camarinha-Matos et al.· Systems research and behavio...· 0 citations
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