hands-on-workshop

Use AIF360 to detect and mitigate age bias on credit decisions

The goal of this tutorial is to introduce the basic functionality of AI Fairness 360 to an interested developer who may not have a background in bias detection and mitigation.

1. Open the tutorial project: MLOps and Trustworthy AI

2. Go to Assets, click on New Asset +

3. Under “Code Editors” select “Jupyter notebook editor”

4. Click the From URL tab

5. Select any runtime with Python 3.9

6. Insert the following Github link in Notebook URL to load the notebook

   https://github.com/IBM/ai-data-workshop/blob/main/monitor-model-with-openscale/hands-on-workshop/aif360-watson-studio.ipynb
   

   

7. Assign a name to the notebook. For example: aif360-notebook and click Create button

8. Run all the cell in this notebook