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AI in knowledge sharing, which ethical challenges are raised in decision-making processes for organisations?

Mojtaba Rezaei (Department of Management, University of Turin, Turin, Italy) (Department of Economics and Business Management Sciences, Catholic University of the Sacred Heart, Milan, Italy)
Marco Pironti (Dipartimento di Informatica, University of Turin, Turin, Italy)
Roberto Quaglia (ESCP Business School, Paris, France)

Management Decision

ISSN: 0025-1747

Article publication date: 25 April 2024

975

Abstract

Purpose

This study aims to identify and assess the key ethical challenges associated with integrating artificial intelligence (AI) in knowledge-sharing (KS) practices and their implications for decision-making (DM) processes within organisations.

Design/methodology/approach

The study employs a mixed-methods approach, beginning with a comprehensive literature review to extract background information on AI and KS and to identify potential ethical challenges. Subsequently, a confirmatory factor analysis (CFA) is conducted using data collected from individuals employed in business settings to validate the challenges identified in the literature and assess their impact on DM processes.

Findings

The findings reveal that challenges related to privacy and data protection, bias and fairness and transparency and explainability are particularly significant in DM. Moreover, challenges related to accountability and responsibility and the impact of AI on employment also show relatively high coefficients, highlighting their importance in the DM process. In contrast, challenges such as intellectual property and ownership, algorithmic manipulation and global governance and regulation are found to be less central to the DM process.

Originality/value

This research contributes to the ongoing discourse on the ethical challenges of AI in knowledge management (KM) and DM within organisations. By providing insights and recommendations for researchers, managers and policymakers, the study emphasises the need for a holistic and collaborative approach to harness the benefits of AI technologies whilst mitigating their associated risks.

Keywords

Citation

Rezaei, M., Pironti, M. and Quaglia, R. (2024), "AI in knowledge sharing, which ethical challenges are raised in decision-making processes for organisations?", Management Decision, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/MD-10-2023-2023

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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