Privacy and human behavior in the age of information. Acquisti, A., Brandimarte, L., & Loewenstein, G.We also argue that a substantial change is required in how AI research is currently conducted in order to develop meaningful theory and to provide practice with sound advice.
Drawing on our insights, we conclude that management scholars need to be involved in research on the use of AI in organizations.
However, if organizations adopt a broader perspective comprising both automation and augmentation, they could deal with the tension and achieve complementarities that benefit business and society. Overemphasizing either augmentation or automation fuels reinforcing cycles with negative organizational and societal outcomes. These dual AI applications are interdependent across time and space, creating a paradoxical tension. Using a more comprehensive paradox theory perspective, we argue that, in the management domain, augmentation cannot be neatly separated from automation. Taking a normative stance, the three books advise organizations to prioritize augmentation, which they relate to superior performance. Whereas automation implies that machines take over a human task, augmentation means that humans collaborate closely with machines to perform a task. Taking three recent business books on artificial intelligence (AI) as a starting point, we explore the automation and augmentation concepts in the management domain.