AI Glossary Term

What does “Safety Filter” mean?

Definition

A moderation layer that blocks or rewrites unsafe model inputs or outputs.

Related terms

Supervised Learning
Training a model with labeled examples that map inputs to known outputs.
Safety Case
A structured argument, supported by evidence, that an AI system is safe for a defined context of use.
AI Alignment
The work of making AI systems behave according to human intentions, values, and safety constraints.
AI Safety
A field focused on reducing harmful behavior, failures, and misuse risks in AI systems.
Algorithmic Bias
Systematic unfairness in model outputs caused by skewed data, assumptions, or modeling choices.
Data Labeling
The process of assigning tags or target outputs to raw data for supervised learning.

Learn more in our free guides

AI SafetySource-Filter Vocoding and WORLDFilterbank and PLP FeaturesSpectral Subtraction and Wiener Filtering

See also

RobustnessScaling LawReward ModelSemantic SearchRetrievalSelf-Supervised LearningReinforcement Learning from Human Feedback (RLHF)Sentiment Analysis
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