HOW DO EMPLOYEES EXPERIENCE THEIR COLLABORATION WITH AI IN DECISION-MAKING, AND WHY IS THIS IMPORTANT?

KEES MATON

Abstract
Successful augmented decision-making (i.e., human-AI collaboration), requires a deep involvement of employees with the AI-system, to know when to and not to intervene. Such a state depends on employees’ positive experiences. However, research lacks identification of employees’ experiential evaluations with augmented decision-making. By performing 17 interviews among AI-users from three organizations, this research aims to develop a framework of factors associated and behavioral outcomes of experiential attitudes towards augmented decision-making. Practical recommendations and future research steps are discussed.

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