Beyond Keyword Filters: How AI Detects Self-Harm at Scale

As user-generated content explodes across platforms, simple keyword filters prove insufficient—missing coded language while triggering false positives that undermine user trust. AI-powered moderation systems understand context and intent, enabling platforms to distinguish between harmful content and legitimate mental health discussions. This shift from mechanical pattern-matching to contextual intelligence is critical for protecting vulnerable users while preserving meaningful discourse at scale.