Overview

The field examines how people and AI can combine judgment, divide tasks, or transfer decision authority, especially when decisions are uncertain or consequential. Common approaches include calibrated advice, selective prediction and deferral, adaptive routing and ensembles, preference elicitation, and explanations designed to support human review. Researchers test these methods in behavioral experiments and applied settings such as clinical diagnosis, finance, negotiation, and public services, measuring both decision outcomes and interaction behavior. A central tension is that AI assistance can improve performance yet also encourage overreliance, weaken human skills, or shift influence and responsibility; gains depend on task context, complementary strengths, and whether people can detect when the AI is wrong.

Latest papers

CardsList

175 papers22 papers in the last four weeks, up 5% on the four weeks before. 0.1% of all new papers.

  1. Navigating the Conceptual Multiverse

    Apr 20, 2026Andre Ye, Jenny Y. Huang, Alicia Guo +3LLM Decision-MakingHuman-AI Decision Making

  2. LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

    Apr 18, 2026Alexis Carrillo, Salvatore Citraro, Ali Aghazhadeh Ardebili +5Opinion DynamicsTrust in AI

  3. Hybrid Decision Making via Conformal VLM-generated Guidance

    Apr 16, 2026Debodeep Banerjee, Burcu Sayin, Stefano Teso +1Conformal Risk ControlHuman-AI Decision Making

  4. The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning

    Apr 16, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1LLM Uncertainty EstimationAI Governance

  5. Improving Human Performance with Value-Aware Interventions: A Case Study in Chess

    Apr 15, 2026Saumik Narayanan, Raja Panjwani, Siddhartha Sen +1Human Behavior ModelingAI-Assisted Decision Making

  6. IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration

    Apr 14, 2026Yanji He, Yuxin Jiang, Yiwen Wu +3LLM Decision-MakingLanguage Model Calibration

  7. A phenomenon of AI-conformity: how algorithms change human moral decision-making

    Apr 13, 2026Yana Venerina, Dmitry Koch, Nare Meloyan +4Human-AI Decision Making

  8. Toward Human-AI Complementarity Across Diverse Tasks

    Apr 13, 2026Yuzheng Xu, Annya Dahmani, Matthew D. Blanchard +13Human-AI ComplementarityHuman-AI Decision Making

  9. RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview

    Apr 12, 2026Min Hun Lee, Justin Yu Feng TeoModel EditingHuman-AI Decision Making

  10. AI-Induced Human Responsibility (AIHR) in AI-Human teams

    Apr 10, 2026Greg Nyilasy, Brock Bastian, Jennifer Overbeck +1AI AccountabilityHuman-AI Decision Making

  11. Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems

    Apr 9, 2026Susanne Gaube, Markus Langer, Tim Miller +17Human Oversight of AIHuman-in-the-Loop AI

  12. Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework

    Apr 9, 2026Seyed Amir Ahmad Safavi-Naini, Elahe Meftah, Josh Mohess +11Human-AI Decision MakingClinical Decision-Making

  13. AI and Collective Decisions: Strengthening Legitimacy and Losers' Consent

    Apr 7, 2026Suyash Fulay, Prerna Ravi, Emily Kubin +3AI-Assisted Decision MakingHuman-AI Decision Making

  14. Effects of Generative AI Errors on User Reliance Across Task Difficulty

    Apr 5, 2026Jacy Reese Anthis, Hannah Cha, Solon Barocas +2Trust in AIHuman-AI Decision Making

  15. When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderation

    Apr 4, 2026Michał Wawer, Jarosław A. ChudziakHuman-AI Decision MakingAnnotator Disagreement

  16. Do we have the knowledge we need? Rethinking human-AI decision-making in corporations

    Apr 2, 2026Anne S. R. Marx, Ricardo M. Avelino, Torbjørn Netland +1Human-AI Decision MakingHuman-AI Collaboration

  17. A Revealed Preference Framework for AI Alignment

    Mar 29, 2026Elchin SuleymanovPreference AlignmentHuman-AI Decision Making

  18. Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

    Mar 26, 2026Ray-Yuan Chung, Xuhai Xu, Ari PollackHuman-AI CollaborationHealthcare

  19. Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice

    Mar 25, 2026Domenique Zipperling, Lukas Schmidt, Benedikt Hahn +2Clinical Decision SupportClinical Decision-Making

  20. Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback

    Mar 24, 2026Teerthaa Parakh, Karen M. FeighHuman-AI Decision MakingCausal Attribution

  21. From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization

    Mar 24, 2026Mehul Parmar, Chaklam SilpasuwanchaiHuman-AI InteractionHuman-AI Decision Making

  22. Do Consumers Accept AIs as Moral Compliance Agents?

    Mar 23, 2026Greg Nyilasy, Abraham Ryan Ade Putra Hito, Jennifer Overbeck +2Trust in AIResponsible AI

  23. Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction

    Mar 23, 2026Kuangzhe Xu, Yu Shen, Longjie Yan +1Human-AI Decision MakingCognitive Offloading

  24. Man and machine: artificial intelligence and judicial decision making

    Mar 19, 2026Arthur Dyevre, Ahmad ShahvaroughiAI-Assisted Decision MakingHuman-AI Decision Making

  25. Cognitive Amplification vs Cognitive Delegation in Human-AI Systems: A Metric Framework

    Mar 19, 2026Eduardo Di Santi, Carla FloridaHuman-AI InteractionHuman-AI Decision Making

  26. Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us

    Mar 16, 2026Stylianos Loukas Vasileiou, Antonio Rago, Francesca Toni +1Human-AI Decision MakingComputational Argumentation