Error Analysis, a new Responsible AI open source toolkit, enables machine learning practitioners to identify model errors and diagnose the root causes behind these errors, helping to build responsible, reliable, and trusted solutions.
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[00:00] Livestream begins
[01:24] About AI models
[02:37] Error analysis
[04:23] Interpretability and fairness
[06:34] About Error Analysis toolkit
[11:46] Error explorer demo
[22:18] Debugging demos – Global and Local explanations
Learn more:
Blog on Microsoft Tech Community: https://aka.ms/AIShow/RAIBlog
Website: https://aka.ms/AIShow/RAISite
Readme: https://aka.ms/AIShow/EAD
Sample notebook: https://aka.ms/AIShow/Notebooks/EA
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