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Noble Ackerson edited this page Sep 18, 2024
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RAI Checklist is a command-line tool to easily add customizable responsible AI checklists to data science, Generative AI, or traditional machine learning projects. This tool helps ensure that AI projects adhere to ethical guidelines and best practices throughout their lifecycle.
It complements the Byte and Atom AI Risk Assessment service - Visit Byte an Atom Research for more
- Generate customizable AI responsibility checklists
- Support for various output formats: Markdown (
.md
), YAML (.yaml
), JSON (.json
). - Support for YAML and JSON: You can now generate checklists in YAML and JSON formats, making it easy to integrate into CI/CD pipelines.
- Easily integrate into existing projects or CI/CD pipelines.
- Customizable checklist sections
- Validation of ethical and technical aspects in CI/CD pipelines using YAML or JSON checklists.
- CI/CD Integration Example: Added GitHub Actions template to automate responsible AI checks.
Install the Responsible AI Checklist CLI using pip:
pip install rai-checklist-cli