{"total":21,"rows":[{"id":"2110.10234","title":"Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process","created":"2021-10-19","cited_by_count":56,"area":null},{"id":"2301.06937","title":"Improving Human-AI Collaboration With Descriptions of AI Behavior","created":"2023-01-06","cited_by_count":36,"area":null},{"id":"2304.00078","title":"A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners","created":"2023-03-31","cited_by_count":22,"area":null},{"id":"2310.04621","title":"Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences","created":"2023-10-06","cited_by_count":21,"area":null},{"id":"2204.06425","title":"Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability","created":"2022-04-13","cited_by_count":14,"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":"2408.06226","title":"A Large-Scale Study of Model Integration in ML-Enabled Software Systems","created":"2024-08-12","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":"2205.05749","title":"Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts","created":"2022-05-11","cited_by_count":4,"area":null},{"id":"2504.15815","title":"What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns","created":"2025-04-22","cited_by_count":4,"area":null},{"id":"2403.10438","title":"Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams","created":"2024-03-15","cited_by_count":3,"area":null},{"id":"2403.16858","title":"XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2408.01962","title":"The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations","created":"2024-08-04","cited_by_count":3,"area":null},{"id":"2301.10319","title":"Designing Data: Proactive Data Collection and Iteration for Machine Learning","created":"2023-01-24","cited_by_count":2,"area":null},{"id":"2307.06518","title":"Machine Learning practices and infrastructures","created":"2023-07-13","cited_by_count":2,"area":null},{"id":"2408.10239","title":"A Conceptual Framework for Ethical Evaluation of Machine Learning Systems","created":"2024-08-05","cited_by_count":2,"area":null},{"id":"2604.21554","title":"Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration","created":"2026-04-23","cited_by_count":2,"area":null},{"id":"2403.15481","title":"Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development","created":"2024-03-21","cited_by_count":1,"area":null},{"id":"2405.18461","title":"Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2406.08575","title":"Using Quality Attribute Scenarios for ML Model Test Case Generation","created":"2024-06-12","cited_by_count":0,"area":null},{"id":"2608.10431","title":"What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research","created":"2026-08-11","cited_by_count":0,"area":null}],"next_cursor":null}