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March 3, 20260 citationsOpen Access

In the Shadow of Judgment: Mapping Out the Landscape of Human-AI Decision-Making Through a Systematic Review

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YBYixin BaiUniversity of Maryland, College ParkTYTaehyun YangUniversity of Maryland, College ParkZXZhongzheng XuUniversity of Maryland, College Park

Key Points

  • Human-AI decision-making is a growing field, yet it suffers from conceptual ambiguities and fragmentation.
  • The review uncovers 40 different frameworks, emphasizing the need for clearer definitions in the literature.
  • Conducting a systematic review allowed for a comprehensive synthesis of existing research across various domains.
  • Future research may enable better integration of frameworks, improving understanding of human-AI interactions.

Abstract

Research on human–AI decision-making (HAID) has grown rapidly across domains. However, the literature on this topic remains fragmented, and conceptual ambiguities hinder systematic synthesis and cross-domain comparison. We present a systematic review

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Cite This Study

Bai et al. (2026) studied this question.

synapsesocial.com/papers/69a75be9c6e9836116a24195https://doi.org/10.36227/techrxiv.176963824.45099699/v1
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