AI Content Moderation Platforms: Large-Scale Safety Systems, Policy Engines, and Multilingual Review

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## TL;DR
AI content moderation platforms combine policy enforcement reports, known-content matching, classifier scores, and human review workflows. This article now uses three bounded examples: Meta transparency reporting, Microsoft PhotoDNA, and Perspective API.

## Core Explanation
Large platforms publish enforcement metrics to explain how content policies are applied at scale. Hash-matching systems such as PhotoDNA address a narrower task: identifying known illegal images through robust signatures. Text moderation tools such as Perspective API illustrate the classifier-score layer of moderation.

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