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Results for “Risk”
EN

Benchmark Data Contamination

The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.

EN

Datasheets for Datasets

A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.

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Foundation Model

A broadly trained model that can be adapted to many downstream tasks and applications.

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Hallucination in AI

A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.

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Red Teaming

Adversarial testing intended to discover failure modes, unsafe behavior, or exploitable weaknesses in an AI system.

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Safety Evaluation

Testing designed to measure risks, harmful behaviors, and the effectiveness of safeguards in an AI system.

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System Card

Documentation describing a deployed AI system, including capabilities, evaluations, mitigations, and limitations.