Trust in AI

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Overview

Trust in AI research studies how people judge AI systems and decide whether to accept, check, or delegate decisions to them, as well as how agents and institutions can verify one another. Researchers use controlled user studies, surveys, behavioral measures of reliance, and benchmarks, alongside methods such as uncertainty calibration, evidence-linked explanations, provenance records, and reputation or access-control protocols. Work spans settings including healthcare, education, information seeking, human-robot teams, and autonomous agents, where both system performance and interaction design shape trust. A central tension is that explanations, confidence signals, and warnings can change perceived trust without improving users’ ability to spot errors or rely appropriately, so evaluation must separate trust from accuracy, verification, and outcomes.

Latest papers

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174 papers21 papers in the last four weeks, down 12% on the four weeks before. 0.1% of all new papers.

  1. Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts

    Mar 13, 2026Chantale Lauer, Peter Pfeiffer, Nijat MehdiyevBusiness Process ModelingLLM Agent Evaluation

    Saarland University, Saarbrücken, Saarland, Germany · German Research Institute for Artificial Intelligence, Saarbrücken, Saarland, Germany · 5Plus GmbH, Würzburg, Bavaria, Germany

  2. Examining Users' Behavioural Intention to Use OpenClaw Through the Cognition--Affect--Conation Framework

    Mar 12, 2026Yiran DuTrust in AI

    University of Cambridge

  3. Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity

    Mar 10, 2026Syemin Park, Soobin Park, Youn-kyung LimHuman-AI InteractionHuman-AI Co-Creation

    Department of Industrial Design, KAIST, Republic of Korea

  4. Stability of AI Governance Systems: A Coupled Dynamics Model of Public Trust and Social Disruptions

    Mar 10, 2026Jiaqi Lai, Hou Liang, Weihong HuangHawkes ProcessesAI Governance

    Nanyang Technological University, Singapore

  5. Trust via Reputation of Conviction

    Mar 9, 2026Aravind R. IyengarTrust in AIClaim Verification

  6. "Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work

    Mar 8, 2026Angel Hsing-Chi Hwang, Senya Wong, Baixiao Chen +2AI Use DisclosureAI and Labor

    University of Southern California · Emory University · IBM Research

  7. Evaluating LLM Alignment With Human Trust Models

    Mar 6, 2026Anushka Debnath, Stephen Cranefield, Bastin Tony Roy Savarimuthu +1Trust in AILLM Interpretability

    School of Computing, University of Otago, New Zealand · IRIT, CNRS, Toulouse University, France

  8. Not All Trust is the Same: Effects of Decision Workflow and Explanations in Human-AI Decision Making

    Mar 5, 2026Laura Spillner, Rachel Ringe, Robert Porzel +1AI-Assisted Decision MakingTrust in AI

    Digital Media Lab, University of Bremen, Germany

  9. Architecting Trust in Artificial Epistemic Agents

    Mar 3, 2026Nahema Marchal, Stephanie Chan, Matija Franklin +5Trust in AIAI Agent Governance

    Google DeepMind · Google Research

  10. Strategic Advice in the Age of Personal AI

    Mar 2, 2026Yueyang Liu, Wichinpong Park SinchaisriTrust in AIHuman-AI Decision Making

    1Jones Graduate School of Business, Rice University · 2Haas School of Business, University of California, Berkeley

  11. Anthropomorphism and Trust in Human-Large Language Model interactions

    Mar 1, 2026Akila Kadambi, Ylenia D'Elia, Tanishka Shah +8Anthropomorphism in AIHuman-AI Interaction

    Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA · USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA · Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA +2

  12. Agent-Based Simulation of Trust Development in Human-Robot Teams: An Empirically-Validated Framework

    Mar 1, 2026Ravi KalluriTrust in HRIHuman-Robot Collaboration

    College of Professional Studies, Northeastern University – San Jose, California, United States

  13. Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop

    Feb 27, 2026Valerie Bürger, Marlie Besouw, Jana Fehr +26Responsible AITrust in AI

    QUEST Center for Responsible Research, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany · Department of Medical Imaging, Radboud University Medical Centre, Nijmegen, The Netherlands · Institute of Medical Informatics, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany +23

  14. "Are You Sure?": An Empirical Study of Human Perception Vulnerability in LLM-Driven Agentic Systems

    Feb 24, 2026Xinfeng Li, Shenyu Dai, Kelong Zheng +4AI Agent SecurityCybersecurity

    Nanyang Technological University · KTH · William & Mary

  15. What Drives Students' Use of AI Chatbots? Technology Acceptance in Conversational AI

    Feb 24, 2026Griffin Pitts, Sanaz MotamediConversational AgentsGenerative AI in Education

    North Carolina State University, Raleigh, North Carolina, USA · Pennsylvania State University, University Park, Pennsylvania, USA

  16. Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations

    Feb 22, 2026Tabea E. Röber, Paul Festor, Rob Goedhart +2Counterfactual ExplanationsExplainability Evaluation

    Amsterdam Business School, University of Amsterdam, The Netherlands · Department of Bioengineering, Imperial College London, UK · Institute of Artificial and Human Intelligence, University of Bayreuth, Germany

  17. A User-driven Design Framework for Robotaxi

    Feb 22, 2026Yue Deng, Changyang HeAutonomous DrivingTrust in AI

    Hong Kong University of Science and Technology, Hong Kong, China · Max Planck Institute for Security and Privacy, Bochum, Germany

  18. Defining Explainable AI for Requirements Analysis

    Feb 22, 2026Raymond Sheh, Isaac MonteathExplainable Artificial IntelligenceTrust in AI

    (formerly) Department of Computing, Curtin University, Bentley WA 6102, Australia

  19. Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs

    Feb 20, 2026Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi +2Human-AI InteractionTrust in AI

    Department of Computer Science, Stony Brook University, Stony Brook, New York, USA · Applied Math and Statistics, Stony Brook University, Stony Brook, New York, USA · Computer Science, Stony Brook University, Stony Brook, New York, USA +1

  20. The Bots of Persuasion: Examining How Conversational Agents' Linguistic Expressions of Personality Affect User Perceptions and Decisions

    Feb 19, 2026Uğur Genç, Heng Gu, Chadha Degachi +3Persuasion in Language ModelsHuman-AI Decision Making

    Delft University of Technology, Delft, Netherlands

  21. Large language models can effectively convince people to believe conspiracies

    Jan 8, 2026Thomas H. Costello, Kellin Pelrine, Matthew Kowal +6Deception in Language ModelsLLM Safety

    Carnegie Mellon University · York University · Center for Research and Teaching in Economics +5

  22. The Fake Friend Dilemma: Relational Trust and the Political Economy of Conversational AI

    Jan 6, 2026Jacob EricksonTrust in AIAI Governance

    Vassar College, Poughkeepsie, NY, USA

  23. CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?

    Dec 12, 2025Jie Wang, Zheng Yan, Jiahe Lan +2Temporal GNNsHeterogeneous GNNs

    State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University · Hangzhou Institute of Technology, Xidian University · Department of Computer Science, Purdue University

  24. Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations

    Nov 15, 2025Eunkyu Park, Wesley Hanwen Deng, Vasudha Varadarajan +4VLM ReasoningMultimodal CoT Reasoning

    Seoul National University · Human-Computer Interaction Institute, Carnegie Mellon University · Language Technologies Institute, Carnegie Mellon University

  25. Human-AI Complementarity: A Goal for Amplified Oversight

    Oct 30, 2025Rishub Jain, Sophie Bridgers, Lili Janzer +3Human-AI ComplementarityClaim Verification

    1Google DeepMind · 2Work done while previously at Google DeepMind