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

trojai

Website

Github

Hugging Face

NNI automates feature engineering, neural architecture search, hyperparameter tuning, and model compression for deep learning.

About the tool

You can click on the links to see the associated tools

Tool type(s):

Toolkit/software

Objective(s):

Privacy & data governance
Respect of human rights

Purpose(s):

Event/anomaly detection
Forecasting/prediction
Goal-driven optimisation
Interaction support/chatbots
Personalisation/recommenders
Reasoning with knowledge structures/planning
Recognition/object detection
Content generation

Lifecycle stage(s):

Build & interpret model

Type of approach:

Technical

Maturity:

Implemented in multiple projects
In development

Usage rights:

Open source/Permissive

License:

Apache License 2.0

Target users:

Data scientist
Developer

Programming languages:

Python

Github stars:

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.