The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning

Patrick Hendriks, Timo Sturm, Christian M. Olt and Peter Buxmann

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

Abstract: To make sense of their increasingly digital and complex environments, organizations strive for a future in which machine learning (ML) systems join humans in collaborative learning partnerships to complement each other’s learning capabilities. While these so-called artificial assistants enable their human partners (and vice versa) to gain insights about unique knowledge domains that would otherwise remain hidden from them, they may also disrupt and impede each other's learning. To explore the virtuous and vicious dynamics that affect organizational learning, we conduct a series of agent-based simulations of different learning modes between humans and artificial assistants in an organization. We find that aligning the learning of humans and artificial assistants and allowing them to influence each other’s learning processes equally leads to the highest organizational performance.

Date: 2023-06-16
New Economics Papers: this item is included in nep-ain, nep-big, nep-cmp and nep-knm
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Published in ECIS 2023 Research Papers (2023-06-16)

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Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:138376

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