Uncovering the Dark Side of Artificial Intelligence in Electronic Markets: A Systematic Literature Review

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Abstract

The dark sides of artificial intelligence (AI) have attracted immense attention in recent years. This study produces a synthesis of current research on six dark sides of AI in electronic markets through a systematic literature review. The authors searched five different databases and summarized the dark sides of AI in electronic markets from six aspects: privacy concerns, security issues, ethical challenges, criminals and terrorists enabled by AI, trust issues between humans and machines, and AI biases. The literature review presented in this study has provided a rigorous and structured overview of research on AI’s dark sides in the electronic markets through a combination of quantitative and qualitative analysis of the AI literature. As AI has made rich contributions to a variety of applications in electronic markets, special care should be taken regarding the dark side of AI. Governments and policymakers are recommended to establish legislation to ensure that AI-powered innovation and implementation are beneficial to the social good while limiting the threats caused by the dark side of AI.

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APA

Xing, Y., Yu, L., Zhang, J. Z., & Zheng, L. J. (2023). Uncovering the Dark Side of Artificial Intelligence in Electronic Markets: A Systematic Literature Review. Journal of Organizational and End User Computing, 35(1). https://doi.org/10.4018/JOEUC.327278

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