Content Safety Classifier
An AI model that detects and categorizes unsafe, harmful, or policy-violating content before it reaches users or downstream applications.
What is a Content Safety Classifier?
Content safety classifiers examine inputs and outputs such as text, images, or other media to determine whether they contain specific types of harmful content. Categories may include hate speech, violence, sexual content, self-harm, harassment, or illegal activity. Based on the classification, an AI application can allow, flag, filter, block, or escalate the content for further review.
Why is a Content Safety Classifier Important?
Generative AI can produce or encounter unsafe content at scale. Content safety classifiers provide an automated layer for detecting these risks before harmful material reaches users. They help organizations enforce usage policies, support moderation teams, and maintain safer AI interactions.
Common use cases
Content safety classifiers are commonly used in AI chatbots, generative AI applications, social platforms, content moderation systems, and trust and safety workflows.