AI Trustworthiness

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28 papers in the last four weeks, up 133% on the four weeks before. 0.3% of all new papers.

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  1. Embodied AI in Action: Insights from SAE World Congress 2026 on Safety, Trust, Robotics, and Real-World Deployment

    May 11, 2026Jan-Mou Li, Paul Schmitt, Wei Tong +4Embodied Artificial IntelligenceArtificial Intelligence Systems

  2. Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust

    May 11, 2026Shijun Lei, Quang Nguyen, Swapneel S Mehta +7Multi-Agent SimulationsPersonalized Large Language Model Agents

    Northwestern Polytechnical University · Boston University · Fudan University +3

  3. Trust or Abstain? A Self-Aware RAG Approach

    May 11, 2026Xi Zhu, Ziqi Wang, Kai Mei +5Large Language Model ReliabilityLarge Language Model Backbones

    Rutgers University · University of Illinois Urbana-Champaign

  4. The Granularity Mismatch in Agent Security: Argument-Level Provenance Solves Enforcement and Isolates the LLM Reasoning Bottleneck

    May 11, 2026Linfeng Fan, Ziwei Li, Yuan Tian +3Untrusted ContentAgentic Deployments

    Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China · King Abdullah University of Science and Technology, Thuwal, Saudi Arabia · Dongbei University of Finance and Economics, Dalian, China +1

  5. CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs

    May 10, 2026Chelsea Zou, Yiheng Yao, Selena She +2Multi-Agent CoordinationMulti-Agent Large Language Model Systems

    Stanford University

  6. Learning from Acceptance: Cumulative Regret in the Game of Coding

    May 10, 2026Hanzaleh Akbari Nodehi, Parsa Moradi, Mohammad Ali Maddah-AliSource-Channel CodingAcceptance

    University of Minnesota, Twin Cities, Minneapolis, MN, USA

  7. Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning

    May 9, 2026Chulabhaya Wijesundara, Andrea Baisero, Zhongheng Li +3Multi-Agent Reinforcement LearningTrust Region

    Northeastern University · STR · University of California, Irvine

  8. When (and How) to Trust the Expert: Diagnosing Query-Time Expert-Guided Reinforcement Learning

    May 9, 2026Yann Berthelot, Philippe Preux, Riad AkrourExpertsAI Trustworthiness

    UMR 9189 – CRIStAL · CNRS, Inria, Centrale Lille · Saint-Gobain Research Paris +3

  9. OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling

    May 8, 2026Yuxuan Lou, Yang YouSpectral NormScaling

    National University of Singapore

  10. Trust Without Trusting: A Recomputable Trust Protocol for Autonomous Agents

    May 7, 2026Lars Kersten KroehlAI TrustworthinessProtocol

    MolTrust / CryptoKRI GmbH, Zurich

  11. When to Trust Imagination: Adaptive Action Execution for World Action Models

    May 7, 2026Rui Wang, Yue Zhang, Canyang Chen +3Efficient World-Action ModelWorld Models

    Southern University of Science and Technology, Shenzhen, China · The University of Hong Kong, Hong Kong, China

  12. Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning

    May 6, 2026Michael Lanier, Luise Ge, Sastry Kompella +1Log-Ratio-Based Gaussian Trust WeightDecentralized Learning

    Department of Computer Science Washington University in St. Louis and Nexcepta

  13. AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use

    May 6, 2026Chenglin YangRuntime Safety FilteringUntrusted Content

    Independent Researcher

  14. ITBoost: Information-Theoretic Trust for Robust Boosting

    May 6, 2026Ye Su, Longlong Zhao, Diego Garcia-Gil +4Noisy LabelsGradient Boosted Decision Tree

    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada +1

  15. TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains

    May 5, 2026Serhii ZabolotniiTrustworthy Artificial IntelligenceAI Trustworthiness

    Cherkasy State Business College, Cherkasy 18028, Ukraine · State Scientific Research Institute of Armament and Military Equipment Testing and Certification, Cherkasy, Ukraine · healthPrecision, New York, NY, USA

  16. Multi-Agent Strategic Games with LLMs

    May 5, 2026Maxim ChupilkinStrategic ReasoningMulti-Agent Simulations

    University of Oxford, Department of Politics and International Relations

  17. When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI

    May 4, 2026Javad Forough, Marios Kogias, Hamed HaddadiPoisoningAI Trustworthiness

    Department of Computing Imperial College London London, United Kingdom

  18. Trust, but Verify: Peeling Low-Bit Transformer Networks for Training Monitoring

    May 4, 2026Arian Eamaz, Farhang Yeganegi, Mojtaba SoltanalianLayer-WiseTransformer Architectures

    Department of Electrical and Computer Engineering University of Illinois Chicago Chicago, IL, USA

  19. Query-Dependent Use of Generated Descriptions for Reliable Visual Question Answering

    May 3, 2026Zeshang Li, Shuoyang ZhangCaptionsAI Trustworthiness

    University of International Relations

  20. Certified Purity for Cognitive Workflow Executors: From Static Analysis to Cryptographic Attestation

    May 1, 2026Alan L. McCannOn-Chain AttestationsGovernance

    Mashin, Inc.

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

    May 1, 2026Daan Di Scala, Maaike de Boer, Pınar YolumLarge Language Model ReliabilityAI Trustworthiness

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

  22. Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent Runtimes

    May 1, 2026Alfredo MetereSkillsUntrusted Content

    Enclawed, LLC, California, USA

  23. Auditing Frontier Vision-Language Models for Trustworthy Medical VQA: Grounding Failures, Format Collapse, and Domain Adaptation

    Apr 30, 2026Xupeng Chen, Binbin Shi, Chenqian Le +5Medical Vision-Language ModelsMedical Visual Question Answering

    New York University, New York, USA · Tsinghua University, Beijing, China · Columbia University, New York, USA +1

  24. TRUST: A Framework for Decentralized AI Service v.0.1

    Apr 29, 2026Yu-Chao Huang, Zhen Tan, Mohan Zhang +3Trustworthy Artificial IntelligenceAI Trustworthiness

    UNITES Lab, University of North Carolina at Chapel Hill · Arizona State University · Columbia University

  25. 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 AntonenkoTrustworthy Artificial IntelligenceAI Trustworthiness

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

  26. Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors

    Apr 28, 2026Long Zhang, Zi-bo Qin, Wei-neng ChenAuthorityAI Trustworthiness

    School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

  27. Benchmarking Source-Sensitive Reasoning in Turkish: Humans and LLMs under Evidential Trust Manipulation

    Apr 27, 2026Sercan Karakaş, Yusuf ŞimşekLarge Language Model ReliabilityAI Trustworthiness

    University of Chicago · Fırat University

  28. When AI reviews science: Can we trust the referee?

    Apr 26, 2026Jialiang Wang, Yuchen Liu, Hang Xu +7Peer ReviewReview

    Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR 999077, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, School of Computer Science and Engeering, Southeast University, Nanjing 210000, China · These authors contributed equally +2

  29. Peer Identity Bias in Multi-Agent LLM Evaluation: An Empirical Study Using the TRUST Democratic Discourse Analysis Pipeline

    Apr 24, 2026Juergen DietrichLarge Language Model BiasAI Trustworthiness

    TRUST Project — democracy-intelligence.de

  30. Rethinking Trust Region Bayesian Optimization in High Dimensions

    Apr 24, 2026Wei-Ting Tang, Joel A. PaulsonMulti-Objective Bayesian Optimization AlgorithmsTrust Region

    University of Wisconsin–Madison

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

    Apr 21, 2026Hang-Cheng Dong, Yuhao Jiang, Yibo Jiao +5Trustworthy Artificial IntelligenceDefect Detection

  32. How Adversarial Environments Mislead Agentic AI?

    Apr 20, 2026Zhonghao Zhan, Huichi Zhou, Zhenhao Li +3Adversarial RobustnessCyberattacks

    Imperial College London

  33. Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review

    Apr 19, 2026Khandoker Ashik Uz Zaman, Mahdi H. Miraz, Mohammed N. M. AliInternet Of ThingEdge Devices

    Xiamen University Malaysia, Malaysia · Wrexham University, UK · University of South Wales, UK

  34. 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 +5PersuasionHuman-Ai Interaction

    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

  35. Know When to Trust the Skill: Delayed Appraisal and Epistemic Vigilance for Single-Agent LLMs

    Apr 17, 2026Eren UnluMetacognitionSingle-Agent

    Globeholder Paris, France

  36. High-Risk AI Systems and the Problem of Identity in the European AI Act

    Apr 17, 2026Andrea FerrarioEu Artificial Intelligence ActGovernance

    Institute of Biomedical Ethics and History of Medicine, University of Zürich, Zürich, Switzerland · SUPSI, Dalle Molle Institute for Artificial Intelligence (IDSIA), Lugano, Switzerland · ETH Zürich, Zürich, Switzerland

  37. A Systematic Study of Training-Free Methods for Trustworthy Large Language Models

    Apr 17, 2026Wai Man Si, Mingjie Li, Michael Backes +1Large Language Model ReliabilityLarge Language Model Training

    CISPA Helmholtz Center for Information Security

  38. Robust Explanations for User Trust in Enterprise NLP Systems

    Apr 13, 2026Guilin Zhang, Kai Zhao, Jeffrey Friedman +3Large Language Model ReliabilityExplainability

    Workday AI Research

  39. Confident and Wrong: Silent Semantic Failures in Coding Agents

    Mar 26, 2026Aman MehtaCoding AgentsAI Trustworthiness

    Snowflake AI Research

  40. Learning When to Trust in Contextual Social Bandits

    Mar 9, 2026Majid Ghasemi, Mark CrowleyContextual Bandit FrameworkAI Trustworthiness

    Department of Electrical & Computer Engineering University of Waterloo, Canada

  41. Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise

    Mar 6, 2026Wenxin Li, Kunyu Peng, Di Wen +63D Semantic Occupancy PredictionRobotic Perception

    School of Artificial Intelligence and Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, China · Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany · INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria +1

  42. Proof-of-Guardrail in AI Agents and What (Not) to Trust from It

    Mar 6, 2026Xisen Jin, Michael Duan, Qin Lin +4On-Chain AttestationsGuardrail

    Sahara AI · University of Southern California

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

    Dec 12, 2025Jie Wang, Zheng Yan, Jiahe Lan +2Log-Ratio-Based Gaussian Trust WeightGraph Neural Networks

    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

  44. Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness

    Oct 6, 2025Amin Banayeeanzade, Ala N. Tak, Fatemeh Bahrani +5PersonalityPsychology

    Department of Computer Science, University of Southern California · Institute for Creative Technologies, University of Southern California · Department of Statistics and Data Science, University of California, Los Angeles

  45. Seven Security Challenges in Cross-domain Multi-agent LLM Systems

    May 28, 2025Ronny Ko, Jiseong Jeong, Shuyuan Zheng +4Multi-Agent Large Language Model SystemsLarge Language Model Safety

    Osaka University · Seoul National University · Yonsei University

  46. Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection

    Mar 14, 2025Tianwei Lan, Luca Demetrio, Farid Nait-Abdesselam +2MalwareAI Trustworthiness

    1Université Paris Cité, France · University of Genova, Italy · 3INRIA, France +1

  47. Trust-free Personalized Decentralized Learning

    Oct 15, 2024Yawen Li, Yan Li, Junping Du +3Federated LearningDecentralized Learning

    Beijing University of Posts and Telecommunications, Beijing, China

  48. TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas

    Date pendingAi Jian, Xiaoyun Zhang, Eryu Guo +6Text-To-SqlSchema

    Beijing University of Posts and Telecommunications, Beijing, China · State Key Lab of Processors, Institute of Computing Technology, CAS · University of Chinese Academy of Sciences +1