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


This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.



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

Can enterprises govern machine learning at scale? Traditional approaches to governing AI and ML focused on explaining how models function internally. But these approaches are prevent the adoption of ML across the enterprise.

In this white paper, Immuta and the Future of Privacy Forum provide the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. The ultimate goal of this white paper is to enable the safe, ethical, and high-impact use of ML.

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