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. When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation

    Oct 28, 2026Madeleine Pollack, Thomas Daillak, Mehmet Toner +3Responsible AIClinical Decision-Making

  2. Words or Deeds? How LLMs Predict Users' Decisions in Human-Agent Dialogue

    Oct 27, 2026Baiqiao Zhang, Shuai Ma, Zhifeng Liao +9Human-AI Decision MakingHuman Behavior Prediction

  3. AI Teaches Humans to Handle Complexity in the Game of Go

    Oct 23, 2026Adamo Cerioli, Vito D. P. Servedio, Gabriele Cerioli +2Human-AI Decision MakingHuman-AI Complementarity

  4. When Do Humans and Machines Truly Complement Each Other? Formal Conditions and Empirical Evidence for Human-AI Synergy

    Oct 20, 2026Andrea Campagner, Federico Cabitza, Vincenzo CrupiHuman-AI ComplementarityHuman-AI Decision Making

  5. When Interpretations Persist: Downstream Influence in Gaze-Aware Assistants

    Oct 18, 2026Mingcong Ding, Chenyan Zhang, Zhuojiang Cai +3Human-AI InteractionHuman-AI Decision Making

  6. From Proposal to Execution: Modeling Interaction Semantics in Shared Autonomy

    Oct 18, 2026Shashank Shekhar, Laurent Jeanpierre, Abdel-Illah MouaddibHuman-AI Decision MakingShared Autonomy

  7. Indirect Influences of Artificial Intelligence Advice on Complex Sepsis Treatment Decisions

    Oct 16, 2026Venkatesh Sivaraman, Joel Levin, Eric P. Mason +6AI-Assisted Decision MakingHuman-AI Decision Making

  8. Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI

    Oct 15, 2026Agnese Chiatti, Matteo Matteucci, Viola SchiaffonatiHuman Oversight of AIHuman-AI Decision Making

  9. Trust Hinders Bidirectional Human-AI Alignment

    Oct 10, 2026Michaela Benk, Kacper SokolHuman-AI Decision MakingAI Alignment

  10. Too Late to Prune: Generative AI, the Screen, and Team Creative Decisions

    Oct 10, 2026Difang Huang, Shumin Yu, Fadong Chen +1Human-AI Decision MakingHuman-AI Co-Creation

  11. When Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare

    Oct 9, 2026Priyadarsi Mishra, Arjun Beniwal, Ziyu Yi +2LLM SycophancyHuman-AI Decision Making

  12. Incremental Retrieval-Augmented Generation for Human-in-the-Loop Decision Support

    Oct 8, 2026Federico Mazzoni, Andrea FaillaHuman-AI Decision MakingRetrieval-Augmented Generation

  13. Careful Judge: Safe and Efficient Human-AI Collaborative Decision Making

    Oct 6, 2026Chenyu Zhang, Rachel Luo, Boyi Li +3Human-AI Decision MakingHuman-in-the-Loop AI

  14. Judgement in the Age of Jev: From Evaluation Scarcity to Evaluation Abundance

    Oct 1, 2026Richard HillAutomated EvaluationHuman-AI Decision Making

  15. Should I stay or should I show? Learning to selectively disclose information

    Sep 30, 2026Carlotta Giacchetta, Alessando Bogani, Cesare Barbera +4Value of InformationHuman-AI Decision Making

  16. Referential Uncertainty in Human--AI Collaboration

    Sep 30, 2026Christian Poelitz, Finale Doshi-Velez, Siân LindleyLLM Uncertainty EstimationHuman-AI Decision Making

  17. Rational Clarification by Assistive Agents via Value-of-Information Reasoning

    Sep 29, 2026T. Duy Nguyen-Hien, Yee Whye Teh, Wee Sun Lee +1Value of InformationClarification Question Generation

  18. SMARtCARE: Privacy-Preserving Agentic AI Systems for Bounded-Autonomy Clinical Decision Support

    Sep 24, 2026Srini Ramaswamy, Deveeshree NayakClinical Decision SupportAgentic AI

  19. Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer

    Sep 23, 2026Davood Wadi, Yu MaAgentic CommerceLLM Decision-Making

  20. Learning to Defer with Guidance on Real World Medical Data

    Sep 22, 2026Emma Sun, Joshua Strong, Alison NobleLearning to DeferHuman-in-the-Loop AI

  21. Toward Responsible AI-Augmented Cyber Defense: Pattern Recognition, Defense-in-Depth, and the Case for Human-AI Collaboration

    Sep 22, 2026Mustafa S. Aljumaily, Hayder Kareem Abed, Nawar S. AlseelawiCybersecurityHuman-AI Decision Making

  22. Deflecting the Value Compass: Interacting with Large Language Models Temporarily Shifts Human Value Priorities Toward Personal Focus

    Sep 22, 2026Hasibur Rahman, Malak Sadek, Smit DesaiAI-Assisted Decision MakingHuman-AI Decision Making