{"total":91,"rows":[{"id":"2102.07817","title":"What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research","created":"2021-02-15","cited_by_count":119,"area":null},{"id":"2112.11471","title":"Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies","created":"2021-12-21","cited_by_count":86,"area":null},{"id":"2210.11584","title":"Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations","created":"2022-10-20","cited_by_count":85,"area":null},{"id":"2103.01035","title":"If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques","created":"2021-02-26","cited_by_count":82,"area":null},{"id":"2103.05154","title":"Explanations in Autonomous Driving: A Survey","created":"2021-03-09","cited_by_count":81,"area":null},{"id":"2301.07255","title":"Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations","created":"2023-01-18","cited_by_count":73,"area":null},{"id":"2301.05809","title":"Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making","created":"2023-01-14","cited_by_count":67,"area":null},{"id":"2107.13509","title":"The Who in XAI: How AI Background Shapes Perceptions of AI Explanations","created":"2021-07-28","cited_by_count":48,"area":null},{"id":"2308.02312","title":"Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions","created":"2023-08-04","cited_by_count":42,"area":null},{"id":"2403.16812","title":"Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making","created":"2024-03-25","cited_by_count":38,"area":null},{"id":"2112.09745","title":"Interpretable Data-Based Explanations for Fairness Debugging","created":"2021-12-17","cited_by_count":30,"area":null},{"id":"2301.09656","title":"Selective Explanations: Leveraging Human Input to Align Explainable AI","created":"2023-01-23","cited_by_count":29,"area":null},{"id":"2103.12016","title":"Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature","created":"2021-03-22","cited_by_count":27,"area":null},{"id":"2101.09385","title":"Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems","created":"2021-01-23","cited_by_count":26,"area":null},{"id":"2112.09669","title":"Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations","created":"2021-12-17","cited_by_count":26,"area":null},{"id":"2209.11812","title":"Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making","created":"2022-09-23","cited_by_count":25,"area":null},{"id":"2211.15343","title":"Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research","created":"2022-11-24","cited_by_count":20,"area":null},{"id":"2107.04680","title":"A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data","created":"2021-07-09","cited_by_count":19,"area":null},{"id":"2205.05758","title":"\"There Is Not Enough Information\": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making","created":"2022-05-11","cited_by_count":19,"area":null},{"id":"2101.07337","title":"Dissonance Between Human and Machine Understanding","created":"2021-01-18","cited_by_count":18,"area":null},{"id":"2106.07754","title":"Counterfactual Explanations as Interventions in Latent Space","created":"2021-06-14","cited_by_count":18,"area":null},{"id":"2112.05700","title":"A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions","created":"2021-12-10","cited_by_count":18,"area":null},{"id":"2109.07557","title":"CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations","created":"2021-09-15","cited_by_count":17,"area":null},{"id":"2303.16292","title":"XAIR: A Framework of Explainable AI in Augmented Reality","created":"2023-03-28","cited_by_count":17,"area":null},{"id":"2204.10152","title":"Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI","created":"2022-04-21","cited_by_count":16,"area":null},{"id":"2310.13007","title":"A Critical Survey on Fairness Benefits of Explainable AI","created":"2023-10-15","cited_by_count":16,"area":null},{"id":"2411.04578","title":"Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactions","created":"2024-11-07","cited_by_count":16,"area":null},{"id":"2302.01448","title":"Out of Context: Investigating the Bias and Fairness Concerns of \"Artificial Intelligence as a Service\"","created":"2023-02-02","cited_by_count":15,"area":null},{"id":"2102.02671","title":"Directive Explanations for Actionable Explainability in Machine Learning Applications","created":"2021-02-03","cited_by_count":14,"area":null},{"id":"2504.12488","title":"Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process","created":"2025-04-16","cited_by_count":14,"area":null},{"id":"2505.18154","title":"The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas","created":"2025-05-23","cited_by_count":13,"area":"lr"},{"id":"2204.10464","title":"Towards Involving End-users in Interactive Human-in-the-loop AI Fairness","created":"2022-04-22","cited_by_count":12,"area":null},{"id":"2205.04525","title":"Towards a multi-stakeholder value-based assessment framework for algorithmic systems","created":"2022-05-09","cited_by_count":12,"area":null},{"id":"2105.11828","title":"Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability","created":"2021-05-25","cited_by_count":11,"area":null},{"id":"2103.00752","title":"Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence","created":"2021-03-01","cited_by_count":10,"area":null},{"id":"2111.14651","title":"Multi-objective Explanations of GNN Predictions","created":"2021-11-29","cited_by_count":10,"area":null},{"id":"2206.03275","title":"The Algorithmic Imprint","created":"2022-06-03","cited_by_count":10,"area":null},{"id":"2108.06500","title":"Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems","created":"2021-08-14","cited_by_count":9,"area":null},{"id":"2206.00474","title":"Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness","created":"2022-06-01","cited_by_count":9,"area":null},{"id":"2101.06220","title":"Player-AI Interaction: What Neural Network Games Reveal About AI as Play","created":"2021-01-15","cited_by_count":8,"area":null},{"id":"2410.08007","title":"Time Can Invalidate Algorithmic Recourse","created":"2024-10-10","cited_by_count":8,"area":null},{"id":"2103.04757","title":"A Study on Fairness and Trust Perceptions in Automated Decision Making","created":"2021-03-08","cited_by_count":7,"area":null},{"id":"2403.12108","title":"Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies","created":"2024-03-18","cited_by_count":7,"area":null},{"id":"2404.00673","title":"A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures","created":"2024-03-31","cited_by_count":6,"area":null},{"id":"2501.03266","title":"LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena","created":"2025-01-04","cited_by_count":6,"area":"safety"},{"id":"2305.18307","title":"Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study","created":"2023-05-15","cited_by_count":5,"area":null},{"id":"2311.17165","title":"(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions","created":"2023-11-28","cited_by_count":5,"area":null},{"id":"2403.01791","title":"Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making","created":"2024-03-04","cited_by_count":5,"area":null},{"id":"2109.11849","title":"Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability","created":"2021-09-24","cited_by_count":4,"area":null},{"id":"2204.13156","title":"On the Relationship Between Explanations, Fairness Perceptions, and Decisions","created":"2022-04-27","cited_by_count":4,"area":null},{"id":"2205.05661","title":"How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India","created":"2022-05-11","cited_by_count":4,"area":null},{"id":"2206.08705","title":"Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making","created":"2022-06-17","cited_by_count":4,"area":null},{"id":"2211.11028","title":"Algorithmic Decision-Making Safeguarded by Human Knowledge","created":"2022-11-20","cited_by_count":4,"area":null},{"id":"2109.05792","title":"Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making","created":"2021-09-13","cited_by_count":3,"area":null},{"id":"2307.09916","title":"TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations","created":"2023-07-19","cited_by_count":3,"area":null},{"id":"2310.08617","title":"The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features","created":"2023-10-12","cited_by_count":3,"area":null},{"id":"2312.08064","title":"Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI","created":"2023-12-13","cited_by_count":3,"area":null},{"id":"2505.22845","title":"\"That's another doom I haven't thought about\": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2312.11507","title":"Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making","created":"2023-12-11","cited_by_count":2,"area":null},{"id":"2403.05565","title":"OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning","created":"2024-02-20","cited_by_count":2,"area":null},{"id":"2405.04677","title":"Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study","created":"2024-05-07","cited_by_count":2,"area":null},{"id":"2406.16606","title":"Cherry on the Cake: Fairness is NOT an Optimization Problem","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2408.12665","title":"Fairness-Aware Streaming Feature Selection with Causal Graphs","created":"2024-08-17","cited_by_count":2,"area":null},{"id":"2409.11535","title":"Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation","created":"2024-09-17","cited_by_count":2,"area":null},{"id":"2508.03168","title":"Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior?","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2509.21868","title":"What Makes LLM Agent Simulations Useful for Policy Practice? An Iterative Design Study in Emergency Preparedness","created":"2025-09-26","cited_by_count":2,"area":"agents"},{"id":"2601.15064","title":"Incentive-Tuning: Understanding and Designing Incentives for Empirical Human-AI Decision-Making Studies","created":"2026-01-21","cited_by_count":2,"area":null},{"id":"2104.09612","title":"LEx: A Framework for Operationalising Layers of Machine Learning Explanations","created":"2021-04-15","cited_by_count":1,"area":null},{"id":"2201.06467","title":"Principled Diverse Counterfactuals in Multilinear Models","created":"2022-01-17","cited_by_count":1,"area":null},{"id":"2205.00033","title":"A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making","created":"2022-04-29","cited_by_count":1,"area":null},{"id":"2311.08644","title":"Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data","created":"2023-11-15","cited_by_count":1,"area":null},{"id":"2404.18736","title":"Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle","created":"2024-04-29","cited_by_count":1,"area":null},{"id":"2505.01192","title":"Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions","created":"2025-05-02","cited_by_count":1,"area":null},{"id":"2506.12245","title":"Reversing the Paradigm: Building AI-First Systems with Human Guidance","created":"2025-06-13","cited_by_count":1,"area":null},{"id":"2507.22205","title":"CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2508.19317","title":"What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2511.14768","title":"Causally-Informed Reinforcement Learning for Adaptive Emotion-Aware Social Media Recommendation","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2602.17729","title":"Stop Saying \"AI\"","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2603.00078","title":"Alignment Is Not Enough: A Relational Framework for Moral Standing in Human-AI Interaction","created":"2026-02-13","cited_by_count":1,"area":null},{"id":"2609.20481","title":"greCAPTCHA: Assessing Understanding as Evidence of Research Authorship Under Generative AI","created":"2026-09-17","cited_by_count":1,"area":null},{"id":"2207.05811","title":"Revealing Unfair Models by Mining Interpretable Evidence","created":"2022-07-12","cited_by_count":0,"area":null},{"id":"2410.13250","title":"Perceptions of Discriminatory Decisions of Artificial Intelligence: Unpacking the Role of Individual Characteristics","created":"2024-10-17","cited_by_count":0,"area":null},{"id":"2506.11047","title":"Perception-Driven Bias Detection in Machine Learning via Crowdsourced Visual Judgment","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2510.16173","title":"In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2510.19754","title":"CONFEX: Uncertainty-Aware Counterfactual Explanations with Conformal Guarantees","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2511.02370","title":"AI Credibility Signals Outrank Institutions and Engagement in Shaping News Perception on Social Media","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2512.04107","title":"Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2601.21650","title":"When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2603.05229","title":"Not All Trust is the Same: Effects of Decision Workflow and Explanations in Human-AI Decision Making","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2604.03478","title":"Investigating Data Interventions for Subgroup Fairness: An ICU Case Study","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2605.15734","title":"Can We Trust AI-Inferred User States. A Psychometric Framework for Validating the Reliability of Users States Classification by LLMs in Operational Environments","created":"2026-05-15","cited_by_count":0,"area":null}],"next_cursor":null}