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A Survey of AI Reliance

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arxiv 2408.03948 v2 pith:JAFQHMFB submitted 2024-07-22 cs.HC cs.AIcs.CY

classification cs.HCcs.AIcs.CY
keywords relianceresearchsurveysociotechnicalsystemsaddressadvanceagenda
verification ladder T0 review T1 audit T2 compute T3 formal
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Although artificial intelligence (AI) systems are becoming increasingly indispensable, research into how humans rely on these systems (AI reliance) is lagging behind. To advance this research, this survey presents a novel, comprehensive sociotechnical perspective on AI reliance, essential to fully understand the phenomenon. To address these challenges, the survey introduces a categorization framework resulting in a morphological box, which guides rigorous AI reliance research. Further, the survey identifies the core influences on AI reliance within the components of a sociotechnical system and discusses current limitations alongside emerging future research avenues to form a research agenda.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

    cs.HC 2025-02 conditional novelty 6.0 of 10

    User involvement in plan-then-execute LLM agents fails to calibrate trust and only inconsistently improves performance, while plausible but wrong plans can mislead users into over-trust.

  2. Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study

    cs.AI 2025-08 conditional novelty 5.0 of 10

    In 315 real quiz conversations, college students showed moderate, often ineffective reliance on ChatGPT, and simple behaviors, such as how closely a prompt matched the quiz text and how long the interaction lasted, pr...

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