Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Overview Tools Metrics About the catalogue

DoWhy

Website

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

About the tool

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Developing organisation(s):

Py-why

Objective(s):

Transparency

Target sector(s):

Health
Finance and insurance

Lifecycle stage(s):

Verify & validate

Usage rights:

Open source/Permissive

License:

MIT License

Target users:

All employees
Data scientist
Developer

Programming languages:

Python

Github stars:

5623

Github forks:

Modify this tool

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.