Interactive Model Cards: A Human-Centered Approach to Model
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Interactive Model Cards: A Human-Centered Approach to Model Documentation

5 May 2022

Anamaria Crisan

Margaret Drouhard

Papers citing "Interactive Model Cards: A Human-Centered Approach to Model Documentation"

18 / 18 papers shown

Title
Model Hubs and Beyond: Analyzing Model Popularity, Performance, and Documentation Pritam Kadasi Sriman Reddy Srivathsa Vamsi Chaturvedula Rudranshu Sen Agnish Saha Soumavo Sikdar Sayani Sarkar Suhani Mittal Rohit Jindal Mayank Singh 53 0 0 19 Mar 2025
Navigating LLM Ethics: Advancements, Challenges, and Future Directions Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 65 19 0 14 May 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 48 7 0 20 Jan 2024
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 32 9 0 09 Oct 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study Nicolas Scharowski Michaela Benk S. J. Kühne Léane Wettstein Florian Brühlmann 35 12 0 15 May 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks Steven Moore Q. V. Liao Hariharan Subramonyam 19 27 0 22 Feb 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 33 58 0 21 Feb 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 48 194 0 16 Feb 2023
The Gradient of Generative AI Release: Methods and Considerations Irene Solaiman 33 98 0 05 Feb 2023
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference R. Brath Daniel A. Keim Johannes Knittel Shimei Pan Pia Sommerauer Hendrik Strobelt 19 11 0 11 Jan 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage Benjamin Charles Germain Lee VLM 16 7 0 06 Jul 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Joey Tianyi Zhou Christopher Ré AAML OffRL OOD 154 136 0 13 Jan 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 252 426 0 15 Oct 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018