Responsible AI Tools
Discover how companies are collaborating with Microsoft to enhance the responsible AI toolbox, focusing on error analysis and model interpretability. The discussion highlights the importance of diagnosing model performance across different groups, enabling users to identify disparities in error distribution and improve data collection practices. This innovative approach empowers teams to address issues effectively and promote fairness in AI applications.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
686: Open-Source "Responsible A.I." Tools — with Ruth Yakubu
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