Orange3 Fairness is an add-on for the Orange3 data mining suite. It provides extensions for fairness-aware AI, which includes algorithms for detecting and mitigating different types of biases in the data and the predictions of machine learning models.

1. Download the latest Orange release from our website.
2. Install the fairness add-on: head to Options -> Add-ons... in the menu bar. From the list of add-ons, select Fairness and confirm. This will downlaod and install the add-on and its dependencies.

After the installation, the widget from this add-on is registered with Orange. To use it, run Orange. The new widget appears in the toolbox bar under the section Fairness.

For an introduction to Orange, see the following YouTube playlist:

• Intro to Data Science - introduces data analysis with Orange

Then, see the following for more on using widgets from the Fairness add-on:

• Fairness add-on documentation - documentation for Fairness widgets
• Orange blog series on Fairness
• Orange widget catalog - Orange widgets documentation

If you would like to install from cloned git repository, run

pip install .

To register this add-on with Orange, but keep the code in the development directory (do not copy it to Python's site-packages directory), run

pip install -e .

To run Orange from the terminal, use

orange-canvas

or

python -m Orange.canvas