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title: Interactive Model Cards | |
emoji: π | |
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}, | |
} | |
``` |