Glossary
What is AI Content Moderation?
Detecting and filtering harmful AI-generated content.
What is content moderation?
AI content moderation uses automated systems to detect and filter harmful, toxic, or inappropriate content. For LLM applications, this means monitoring outputs for policy violations, hate speech, dangerous advice, and other problematic content.
Content Categories
- Toxicity: Hate speech, harassment, threats
- Harmful: Dangerous advice, self-harm, violence
- Illegal: Instructions for illegal activities
- Adult: Sexual or explicit content
- Policy: Brand-specific violations
Moderation Approaches
- Pre-generation: Filter inputs before LLM
- Post-generation: Classify outputs before delivery
- Guardrails: Block or redact problematic content
- Human review: Escalate edge cases
How do I moderate AI outputs?
Use multiple layers: 1) Model-level safety training, 2) Output classification for toxicity and policy violations, 3) Guardrails to block or redact harmful content, 4) Human review for edge cases. Monitor continuously for new patterns.
Toxicity and policy detection
Guardrails to flag, warn, redact, or block.
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