{"total":24,"rows":[{"id":"2202.05338","title":"Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning","created":"2022-02-10","cited_by_count":48,"area":null},{"id":"2304.14749","title":"Understanding accountability in algorithmic supply chains","created":"2023-04-28","cited_by_count":40,"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":"2203.04754","title":"System Cards for AI-Based Decision-Making for Public Policy","created":"2022-03-01","cited_by_count":13,"area":null},{"id":"2205.05306","title":"The Conflict Between Explainable and Accountable Decision-Making Algorithms","created":"2022-05-11","cited_by_count":13,"area":null},{"id":"2401.04374","title":"Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective","created":"2024-01-09","cited_by_count":9,"area":null},{"id":"2302.05284","title":"A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI","created":"2023-02-10","cited_by_count":6,"area":null},{"id":"2410.22526","title":"From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems","created":"2024-10-29","cited_by_count":6,"area":null},{"id":"2510.04609","title":"Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight","created":"2025-10-06","cited_by_count":5,"area":null},{"id":"2510.10339","title":"Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms","created":"2025-10-11","cited_by_count":5,"area":null},{"id":"2501.10909","title":"Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition","created":"2025-01-19","cited_by_count":3,"area":null},{"id":"2508.08804","title":"TechOps: Technical Documentation Templates for the AI Act","created":"2025-08-12","cited_by_count":3,"area":null},{"id":"2110.09232","title":"Accountability in AI: From Principles to Industry-specific Accreditation","created":"2021-10-08","cited_by_count":2,"area":null},{"id":"2509.03286","title":"Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2404.13131","title":"From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap","created":"2024-04-19","cited_by_count":1,"area":null},{"id":"2506.22358","title":"AI Model Passport: Data and System Traceability Framework for Transparent AI in Health","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2606.13071","title":"\"Is This Not Enough?\": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage System","created":"2026-06-11","cited_by_count":1,"area":null},{"id":"2606.19407","title":"JustDiag!: A Diagnostic Justification Engine for Accountable Root Cause Analysis","created":"2026-06-17","cited_by_count":1,"area":null},{"id":"2604.09617","title":"AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2604.15514","title":"Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2606.07113","title":"Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2607.14353","title":"Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.30543","title":"Designing an Auditable LLM-Supported Workflow for Qualitative Thematic Analysis","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.24883","title":"A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}