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

Yunfei Xing, Lu Yu, Justin Z. Zhang*, Jianwen Zheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
JournalJournal of Organizational and End User Computing (JOEUC)
Volume35
Issue number1
DOIs
Publication statusPublished - Oct 2023
Externally publishedYes

Keywords

  • AI
  • Biases
  • Dark Side
  • Electronic Market
  • Privacy
  • Security

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