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.

HAX toolkit



HAX toolkit

The HAX Toolkit is for teams building user-facing AI products. It helps you conceptualize what the AI system will do and how it will behave. Use it early in your design process.

The HAX Toolkit is flexible. You can mix and match tools depending on your needs, use case, and where you are in your product’s life cycle. But if you need guidance, here are our suggestions for getting started:

1. Learn. Familiarize yourself with the Guidelines for Human-AI Interaction. They prescribe how an AI system should behave. Read an overview of the Guidelines and browse the Design Library to see Design Patterns for implementing the Guidelines and Examples.

2. Plan. Bring your team together and go through the HAX Workbook. The HAX Workbook is a discussion and planning guide. Your HAX Workbook session will result in prioritized work items for which Guidelines to implement first, and how.

3. Design. Use Design Patterns and Examples in the Design Library to identify ways to apply the Guidelines.

4. Prototype. If you’re creating a product that uses natural language processing (NLP), use the HAX Playbook to identify how the AI system will fail so you can plan & prototype solutions for helping users recover from inevitable failures.

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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.