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| title: Interactive Model Cards | |
| emoji: 📈 | |
| colorFrom: yellow | |
| colorTo: orange | |
| sdk: streamlit | |
| app_file: app.py | |
| pinned: false | |
| # Interactive Model Cards | |
| [Paper](https://arxiv.org/abs/2205.02894) (**Accepted at ACM Facct'22**) | |
| This is an experimental project that examines whether interactivity can augment people's understanding of machine learning models. We build upon the model card work initially introduced by [Mitchell et al. (2018)](https://arxiv.org/abs/1810.03993) and strategically add (and evaluated) interactivity through a human-centered design process. | |
| If you would like to programmatically interact with the tool or contribute, please follow the instructions below. | |
| ## Getting started | |
| ``` console | |
| cd interactive_model_cards | |
| pipenv install | |
| streamlit run app.py | |
| ``` | |
| ## Citation | |
| ``` | |
| @article{2205.02894, | |
| Author = {Anamaria Crisan and Margaret Drouhard and Jesse Vig and Nazneen Rajani}, | |
| Title = {Interactive Model Cards: A Human-Centered Approach to Model Documentation}, | |
| Year = {2022}, | |
| Eprint = {arXiv:2205.02894}, | |
| Doi = {10.1145/3531146.3533108}, | |
| } | |
| ``` |