https://github.com/ukuhl/aaai_cf_tutorial
AAAI'25 Tutorial on "(Really) Using Counterfactuals to Explain AI Systems": https://sites.google.com/view/cfe-tutorial-aaai-25/startseite
https://github.com/ukuhl/aaai_cf_tutorial
explainable-ai tutorial user-study xai
Last synced: 2 months ago
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AAAI'25 Tutorial on "(Really) Using Counterfactuals to Explain AI Systems": https://sites.google.com/view/cfe-tutorial-aaai-25/startseite
- Host: GitHub
- URL: https://github.com/ukuhl/aaai_cf_tutorial
- Owner: ukuhl
- License: mit
- Created: 2025-01-13T09:18:20.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-02-25T21:48:30.000Z (3 months ago)
- Last Synced: 2025-02-25T22:29:39.828Z (3 months ago)
- Topics: explainable-ai, tutorial, user-study, xai
- Language: Jupyter Notebook
- Homepage: https://sites.google.com/view/cfe-tutorial-aaai-25/startseite
- Size: 344 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## (Really) Using Counterfactuals to Explain AI Systems: Fundamentals, Methods, & User Studies for XAI
Half Day Tutorial presented at AAAI'25, Pennsylvania Convention Centre, Philadelphia, US
[Homepage](https://sites.google.com/view/cfe-tutorial-aaai-25/startseite)
[Slides](slides/)
### Hands-On Sessions
This tutorial features two hands-on sessions: 1) A session on computing counterfactual explanations in Python 2) A session on evaluating a user-study.
#### Computing Counterfactuals in Python
[Jupyter notebook](0-cf_in_python.ipynb) 
#### Analyzing a Simple Two-Group User Study
[Jupyter notebook](1-user_study_evaluation_AAAI.ipynb)
### How to cite
If you are using / referring to these materials in your own work, please cite
Kuhl, U., Artelt, A., Keane, M.T. (2025). (Really) Using Counterfactuals to Explain AI Systems: Fundamentals, Methods, & User Studies for XAI (Tutorial).
*39th AAAI Conference on Artificial Intelligence (AAAI'25)*, Philadelphia, US (February).