mlsanityData to 7 Oct 2026

A Survey of AI Reliance

arXiv 2408.03948 ↗First posted 22 Jul 2024cs.HC cs.AI cs.CYcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 25 of its 140 references that are in the map. First posted on arXiv 22 Jul 2024.

Builds on

25 of 140 references.

References · 25

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019A Survey on Bias and Fairness in Machine Learningcited by 1,911
  3. 2021Transformers in Vision: A Surveycited by 1,009
  4. 2020Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performancecited by 396
  5. 2021To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-makingcited by 118
  6. 2022Explanations Can Reduce Overreliance on AI Systems During Decision-Makingcited by 111
  7. 2023Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanationscited by 80
  8. 2023Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanationscited by 73
  9. 2020Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-makingcited by 59
  10. 2022Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learningcited by 53
  11. 2023Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systemscited by 40
  12. 2023Improving Human-AI Collaboration With Descriptions of AI Behaviorcited by 35
13 more
  1. 2022Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imagingcited by 32
  2. 2022A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Makingcited by 29
  3. 2023Selective Explanations: Leveraging Human Input to Align Explainable AIcited by 29
  4. 2024A Decision Theoretic Framework for Measuring AI Reliancecited by 26
  5. 2022Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Makingcited by 25
  6. 2021A Sociotechnical View of Algorithmic Fairnesscited by 24
  7. 2023Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errorscited by 22
  8. 2022Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservablescited by 19
  9. 2023Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Makingcited by 18
  10. 2022Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-makingcited by 14
  11. 2023What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systemscited by 9
  12. 2023Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advicecited by 8
  13. 2022An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Makingcited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systemscited by 2
  2. 2026Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Eracited by 1
  3. 2026A Framework for Measuring Appropriate Reliance on Set-Valued AI Advicecited by 1
  4. 2026Software Engineering for AI-driven Building Operationcited by 0