Towards Early Detection of Algorithmic Bias from Dataset's Bias Symptoms: An Empirical Study
- 1. University of L'Aquila
Description
Description
Towards Early Detection of Algorithmic Bias from Dataset's Bias Symptoms: An Empirical Study
This repository contains the appendix and the replication package for the paper Towards Early Detection of Algorithmic Bias from Dataset's Bias Symptoms: An Empirical Study.
The repository is organized as follows:
-
DATASETS.md
: contains the list of datasets used to create the bias symptoms dataset, along with additional statistics and references. -
replication_package
: contains the replication package for the analyses reported in the paper. Refer to the [README](replication_package/README.md) file in thereplication_package
folder for more details.
Data Availability
The bias symptoms datasets used in the experiments are available in the replication_package/data
folder. For space constraints the original 24 datasets used to create the bias symptoms dataset are not included in this repository. However, the datasets can be download from the references reported in the `DATASETS.md` file and preprocessed by one-hot encoding categorical values and removing missing values.
Files
giordanoDaloisio/bias_symptoms-1.1.0.zip
Files
(12.5 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/giordanoDaloisio/bias_symptoms/tree/1.1.0 (URL)
Software
- Repository URL
- https://github.com/giordanoDaloisio/bias_symptoms