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

Research on human–AI decision-making (HAID) has grown rapidly across domains, yet the literature remains fragmented with conceptual ambiguities hindering systematic synthesis. We present a systematic review of HAID publications from 2016 to 2024, analyzing 1,493 articles from 20 publishers and databases. Our work contributes: (1) a systematic categorization including 6 contribution types, 13 domains of application, and 4 decision levels; (2) taxonomies of 8 AI roles and 6 human roles, their inputs to decision-making, and their influences on each other; and (3) the identification of 4 research gaps and pathways forward. This interactive interface provides access to our complete corpus, enabling exploration through semantic visualization, filtering, and search capabilities.