microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
The Responsible AI Toolbox helps AI developers and stakeholders evaluate and understand their machine learning models. It takes your trained AI model and its associated data, then provides interactive dashboards to visualize model errors, fairness issues across different user groups, and explanations for individual predictions. This suite of tools is for anyone building, deploying, or overseeing AI systems who needs to ensure their models are fair, transparent, and performing as expected.
1,737 stars. Actively maintained with 3 commits in the last 30 days.
Use this if you need to systematically assess and debug your AI models to ensure they are fair, interpretable, and accurate, especially for diverse user groups.
Not ideal if you are looking for a simple 'black box' model deployment solution without needing deep insights into its internal workings or fairness characteristics.
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1,737
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466
Language
TypeScript
License
MIT
Category
Last pushed
Feb 06, 2026
Commits (30d)
3
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