Documentation Practices of Artificial Intelligence
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Abstract (arXiv)
Artificial Intelligence (AI) faces persistent challenges in terms of transparency and accountability, which requires rigorous documentation. Through a literature review on documentation practices, we provide an overview of prevailing trends, persistent issues, and the multifaceted interplay of factors influencing the documentation. Our examination of key characteristics such as scope, target audiences, support for multimodality, and level of automation, highlights a dynamic evolution in documentation practices, underscored by a shift towards a more holistic, engaging, and automated documentation.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 35 references that are in the map. First posted on arXiv 26 Jun 2024.
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References · 17
- 2018Datasheets for Datasetscited by 1,371
- 2018Model Cards for Model Reportingcited by 1,068
- 2022Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AIcited by 169
- 2020Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructurecited by 138
- 2022Interactive Model Cards: A Human-Centered Approach to Model Documentationcited by 61
- 2022CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotationcited by 59
- 2023Assessing Language Model Deployment with Risk Cardscited by 30
- 2022The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligencecited by 26
- 2020Data Readiness Reportcited by 17
- 2023AI Usage Cards: Responsibly Reporting AI-generated Contentcited by 16
- 2015The Journal Coverage of Web of Science and Scopus: a Comparative Analysiscited by 14
- 2019Experiences with Improving the Transparency of AI Models and Servicescited by 14
5 more
- 2022Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceabilitycited by 14
- 2023Use case cards: a use case reporting framework inspired by the European AI Actcited by 14
- 2023fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Taskscited by 10
- 2023Unlocking Model Insights: A Dataset for Automated Model Card Generationcited by 4
- 2020Towards an Interface Description Template for AI-enabled Systemscited by 1
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