The evidence behind the guides

Sources

Find a study, check what it supports, and follow it back to a concern.

TopicCollection

Sources for Missing evaluations for harms

2 sources

Guide citations are still under editorial review.

Suresh and Guttag · EAAMO 2021 Research framework

A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (original source, new tab)

Framework distinguishes historical, representation, measurement, aggregation, learning, evaluation, and deployment bias. These categories can overlap.

NIST · AI 600-1 · 2024 Official risk framework

Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (original source, new tab)

Describes generative-AI risk categories and management actions; it does not measure the failure rate of every product.

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