AIF360
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Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
http://www.seaphe.org/databases.php This way we can remove the dependency on tempeh. We can essentially copy this file (preserving the copyright notice): https://github.com/microsoft/tempeh/blob/main/tempeh/datasets/seaphe_datasets.py See also [meps_datasets.py](https://github.com/Trusted-AI/AIF360/blob/master/aif360/sklearn/datasets/meps_datasets.py) for another example of downloading/unzipping. Relevant...
Original Dataset location: https://archive.ics.uci.edu/ml/datasets/Census-Income%2B(KDD) This is similar to the adult income dataset. Potential Tasks: - [ ] Ensure the license permits open source us - [ ] Verify that this...
https://github.com/tailequy/fairness_dataset/tree/main/Dutch_census Please get the data from the IPUMS website linked to the above repository. The person file here https://microdata.worldbank.org/index.php/catalog/2102/data-dictionary/F2?file_name=NLD2001-P-H seems to be best suited for fairness Potential Tasks: - [...
https://archive.ics.uci.edu/ml/datasets/default%2Bof%2Bcredit%2Bcard%2Bclients Potential Tasks: - [ ] Ensure the license permits open source us - [ ] Verify that this dataset is appropriate for fairness tasks and subset it accordingly (removing...
http://archive.ics.uci.edu/ml/datasets/communities%2Band%2Bcrime Potential Tasks: - [ ] Ensure the license permits open source us - [ ] Verify that this dataset is appropriate for fairness tasks and subset it accordingly (removing...
https://analyse.kmi.open.ac.uk/open_dataset
Refer to: - https://github.com/Trusted-AI/AIF360/pull/373 - https://github.com/Trusted-AI/AIF360/pull/264 (similar PR) and issue #263
A good README and a demonstration (in the form of a notebook?) on how to run AIF360 example notebooks on watson studio IBM bluemix free account will be required. Some...
Hello, I have noticed that in your notebook examples for all the algorithms, you seem to use repeatedly datasets that are already available in your package and that can be...
The recent [paper](https://arxiv.org/abs/2205.05770) "De-Biasing 'Bias' Measurement" by Lum, Zhang, and Bower shows that fairness metrics involving more than two groups are themselves statistically biased when put together naively. In Section...
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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.