FairLangProc documentationΒΆ

The Fair Language Processing (FairLangProc) package is an extensible open-source Python library containing techniques developed by the research community to help detect and mitigate bias in Natural Language Processing throughout the AI application lifecycle.

The FairLangProc package includes:

  1. Datasets - Benchmarks to test for biases in NLP models

  2. Metrics - Fairness measures based on different philosophies to quantify bias

  3. Algorithms - Bias mitigation techniques at pre-processing, in-processing, and intra-processing stages

It has been created with the intention of encouraging the use of bias mitigation strategies in the NLP community, with the hope of democratizing these tools for the ever-increasing set of NLP practitioners.

Tip

The companion paper provides a comprehensive introduction to the concepts and capabilities, with all code available in the notebooks.

Note

If you use this library in your research, please cite our arXiv paper.