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Multistakeholder Approaches to Explainable Machine Learning

Blog Post by McKane Andrus, Umang Bhatt, Alice Xiang

Multistakeholder Approaches to Explainable Machine Learning. Blog Post: Partnership in AI. 16 July 2020.

In February 2020, the Partnership on AI (PAI) hosted a one-day, in-person workshop around the deployment of “explainable artificial intelligence” (XAI) in service of transparency and accountability goals.

The paper detailing the takeaways from this workshop was accepted as a poster at the 2020 ICML Workshop on Extending Explainable AI Beyond Deep Models and Classifiers (XXAI) and as a spotlight at the Workshop on Human Interpretability in Machine Learning (WHI).

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