Prompting Amazon Nova 2 for content moderation

This article demonstrates how to use Amazon Nova 2 Lite for content moderation through structured and free-form prompting techniques, grounded in the MLCommons AILuminate safety taxonomy.

• Structured prompts (XML/JSON) produce formatted output for automated moderation pipelines
• Free-form prompts adapt to varied review workflows with flexible output formats
• MLCommons AILuminate provides 12-category hazard taxonomy organized into physical, non-physical, and contextual harm groups
• Amazon Nova 2 Lite achieved highest average F1 score (75.70%) across three public benchmarks versus competing models
• Few-shot examples in prompts improve output consistency and accuracy for specific use cases
• Non-reasoning mode recommended for most moderation tasks; balances accuracy with lower latency and cost
• Human-in-the-loop review recommended for edge cases and ambiguous content
• Supports multimodal content moderation including images and video frames

Amazon Nova 2 Lite enables scalable content moderation without model fine-tuning by using customizable prompts aligned with organizational policies, with strong precision-recall balance on safety datasets.