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Don't just flag bias.
Locate it. Explain it. Fix it.

UnBias-Plus (unbias-plus) is an open-source Python package for bias detection and debiasing in text. Every flag returns the exact phrase, the bias type, a severity rating, a 1–2 sentence rationale, and a neutral rewrite — as a structured, validated object you can drop into any pipeline.

Try the live demo GitHub

PyPI version Open In Colab Dataset Leaderboard License: Vector Institute

Walkthroughs

Tours of the demo UI you get when you run unbias-plus --serve: Silent walkthrough · Voiced walkthrough

Continue exploring

  • What it does

    Worked example, three capabilities, and where teams use UnBias-Plus.

  • Quickstart

    Install and run your first analysis in about 30 seconds.

  • How it works

    The pipeline: prompt → fine-tuned model → parser → validated BiasResult.

  • Installation

    Install, CLI, REST API, Python API, and development setup.

  • API Reference

    Auto-generated reference for every public class and function in unbias_plus.

  • FAQ

    Privacy, supported languages, training data, scope, and limitations.

About

Built by the AI Engineering team at the Vector Institute, led by Shaina Raza, PhD. Released under the Vector Institute License.

For collaboration or licensing inquiries, email Shaina. For bugs and feature requests, use GitHub Issues.

Acknowledgements

Resources used in preparing this research are provided, in part, by the Province of Ontario, the Government of Canada through CIFAR, and companies sponsoring the Vector Institute. This research is also supported by the European Union's Horizon Europe research and innovation programme under the AIXPERT project (Grant Agreement No. 101214389).