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

  1. "I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation

    May 1, 2026Daan Di Scala, Maaike de Boer, Pınar YolumRetrieval-Augmented GenerationLLM Reliability

    TNO Netherlands Organisation for Applied Scientific Research, Department Data Science · Utrecht University, Department of Information and Computing Sciences

  2. Consumer Attitudes Towards AI in Digital Health: A Mixed-Methods Survey in Australia

    Apr 30, 2026Wei Zhou, Rashina Hoda, Joycelyn LingHealthcareHuman-Centered AI

    1*Faculty of Information Technology, Monash University, Wellington Rd, Clayton, 3800, VIC, Australia. · 2Digital Health CRC, George Street, Sydney, 2000, NSW, Australia.

  3. From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy

    Apr 29, 2026Serhii Zabolotnii, Viktoriia Holinko, Olha AntonenkoClinical Decision SupportTrust in AI

    Cherkasy State Business College, Cherkasy, Ukraine · healthPrecision, New York, NY, USA

  4. How AI Writing Assistance Distorts Perceptions of AI Users and Their Opinions

    Apr 24, 2026Paul Röttger, Kobi Hackenburg, Hannah Rose Kirk +1Trust in AIDemographic Bias in Language Models

    University of Oxford · UK AI Security Institute

  5. Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders

    Apr 22, 2026Xin Sun, Yue Su, Yifan Mo +9Mental HealthHuman-Centered AI

    National Institute of Informatics (NII), Japan · Vrije Universiteit Amsterdam, the Netherlands

  6. When Can We Trust Deep Neural Networks? Towards Reliable Industrial Deployment with an Interpretability Guide

    Apr 21, 2026Hang-Cheng Dong, Yuhao Jiang, Yibo Jiao +5Explainable Artificial IntelligenceIndustrial Anomaly Detection

  7. Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI

    Apr 19, 2026Jiaxun Cao, Yu Dong, Chunxi Zhan +3Human-Centered AITrust in AI

    Duke University · Duke Kunshan University · Google

  8. 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

    CogNosco Lab, Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy · Institute of Information Science and Technologies “Alessandro Faedo", National Research Council, Italy · Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, California, USA +2

  9. Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?

    Apr 14, 2026Islem RekikAI in EducationComputer Science Education

    BASIRA Lab, Imperial-X (I-X) and Department of Computing Imperial College London, London, United Kingdom

  10. AITH: A Post-Quantum Continuous Delegation Protocol for Human-AI Trust Establishment

    Apr 9, 2026Zhaoliang ChenAI Agent SecurityCybersecurity

    Faculty of Business Administration, University of Macau, Macao SAR, China

  11. Trust the AI, Doubt Yourself: The Effect of Urgency on Self-Confidence in Human-AI Interaction

    Apr 8, 2026Baran Shajari, Xiaoran Liu, Kyanna Dagenais +1Human-AI InteractionTrust in AI

    McMaster University, Hamilton, Canada

  12. Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration

    Apr 7, 2026Yi Yuan, Xuhong Wang, Shanzhe LeiDeep Research AgentsTrust in AI

    Shanghai Artificial Intelligence Laboratory · Southeast University

  13. Reciprocal Trust and Distrust in Artificial Intelligence Systems: The Hard Problem of Regulation

    Apr 7, 2026Martino MaggettiTrust in AIAI Governance

    Institute of Political Studies (IEP), University of Lausanne

  14. Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge

    Apr 7, 2026Xin Sun, Di Wu, Sijing Qin +3Bias in LLM-as-a-JudgeLLM-as-a-Judge

    National Institute of Informatics (NII), Japan · University of Amsterdam, the Netherlands · Hitotsubashi University, Japan +3

  15. From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants

    Apr 6, 2026Shalaleh Rismani, Su Lin Blodgett, Q. Vera Liao +2Human Oversight of AIHuman-AI Collaboration

    McGill University Montréal, Canada · University of Michigan Ann Arbor, Michigan, USA

  16. Beyond Adoption Intention How Trust in Augmented Analytics Relates to Perceived Decision Quality Among Non-Technical BI Users

    Apr 6, 2026Thuy Pham Thi Phuong, Hieu Vu Le Trung, Ha Nguyen Manh +2AI-Assisted Decision MakingTrust in AI

    Edulight Education and Communication Joint Stock Company, Hanoi, Vietnam · Truong Thanh Viet Nam Group, Vietnam · Maumee Valley Country Day School, Toledo, USA +1

  17. 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

    Stanford University, Stanford, California, USA · University of Chicago, Chicago, Illinois, USA · Microsoft Research, New York, New York, USA

  18. Quantifying Trust: Financial Risk Management for Trustworthy AI Agents

    Apr 5, 2026Wenyue Hua, Tianyi Peng, Chi Wang +4AI Risk ManagementTrust in AI

    Microsoft Research · Columbia University · Google DeepMind +2

  19. Synthetic Trust Attacks: Modeling How Generative AI Manipulates Human Decisions in Social Engineering Fraud

    Apr 2, 2026Muhammad Tahir AshrafCybersecurityTrust in AI

    Chair, AAAI Pakistan Chapter (aaai.pk) — Chapter ID: 647885 · Founder and CEO, PureDesigners Ltd. | IBM Watson Silver Partner

  20. Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators

    Apr 1, 2026Griffin Pitts, Neha Rani, Weedguet MildortTrust in AIGenerative AI in Education

    North Carolina State University, Raleigh, NC, USA · University of Florida, Gainesville, FL, USA

  21. A User-Centric Analysis of Explainability in AI-Based Medical Image Diagnosis

    Mar 31, 2026Julia Wagner, Tim SchlippeExplainable Medical Image AnalysisExplainability Evaluation

    IU International University of Applied Sciences, Germany

  22. The Hidden Costs of AI-Mediated Political Outreach: Persuasion and AI Penalties in the US and UK

    Mar 28, 2026Andreas Jungherr, Adrian RauchfleischPolitical CommunicationTrust in AI

    University of Bamberg · National Taiwan University

  23. On the Foundations of Trustworthy Artificial Intelligence

    Mar 26, 2026TJ DunhamTrustworthy AITrust in AI

    ARC

  24. Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

    Mar 25, 2026Silvia Rossi, Diletta Huyskes, Mackenzie JorgensenHuman-AI InteractionAnthropomorphism in AI

    Immanence Trento, Italy · University of Milan Immanence Milan, Italy · Northumbria University Immanence Newcastle, UK

  25. Trust or Check? Understanding the (Evolutionary) Dynamics of User Trust in AI Systems

    Mar 25, 2026Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo +21Trust in AIHuman Oversight of AI

    School Computing, Engineering and Digital Technologies, Teesside University · School of Mathematics, University of Birmingham · Informatics Institute, University of Amsterdam +7

  26. Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals

    Mar 23, 2026ZhaoBin Li, Mark SteyversTrust in AIHuman-AI Collaboration

    Department of Cognitive Sciences, University of California, Irvine

  27. Do Consumers Accept AIs as Moral Compliance Agents?

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

    Department of Management and Marketing, Faculty of Business and Economics, University of Melbourne, 198 Berkeley St, University of Melbourne, VIC 3053, Australia · Melbourne Business School, University of Melbourne, 200 Leicester St, Carlton, VIC 3053, Australia · School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia +1

  28. Overreliance on AI in Information-seeking from Video Content

    Mar 20, 2026Anders Giovanni Møller, Elisa Bassignana, Francesco Pierri +1Video QATrust in AI

    IT University of Copenhagen · Bocconi University · Politecnico di Milano +1

  29. Through the Looking-Glass: AI-Mediated Video Communication Reduces Interpersonal Trust and Confidence in Judgments

    Mar 19, 2026Nelson Navajas Fernández, Jeffrey T. Hancock, Maurice JakeschTrust in AI

    Bauhaus University, Weimar, Germany · Stanford University, Stanford, United States

  30. The Institutional Scaling Law: Non-Monotonic Fitness, Capability-Trust Divergence, and Symbiogenetic Scaling in Generative AI

    Mar 14, 2026Mark Baciak, Thomas A. CellucciTrustworthy AILanguage Model Scaling Laws

    Ekta Inc.