Tag: Explainability

Guidelines for Responsible and Human-Centered Use of Explainable Machine Learning

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This paper provides an overview of explainable machine learning as well as definitions of explainable artificial intelligence, examples of its usage, and details for responsible and human-centered use.

Patrick Hall, H20.AI

Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models

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This white paper outlines some of the most important considerations for managing risk in machine learning models to create more accurate and compliant algorithms. Key recommendations include focusing on the quality of input data as well as implementing techniques to reduce and expose bias.

Andrew Burt, Immuta & Future of Privacy Forum

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