Moderation
Learn about moderation and how to implement it effectively.
2 min read
🆕Recently updated
Last updated: 12/9/2025
Moderation & Content Safety
Content Moderation nodes and workflows in InnoSynth-Forjinn protect users, data, and organizations by automatically filtering, flagging, or blocking undesirable outputs—be they toxic, profane, unsafe, or non-compliant with business/school/government policy.
Why Moderation Nodes?
- Prevent abuse, hate speech, and offensive/unsafe content from reaching end users.
- Enforce compliance (school, workplace, platform safety regulations).
- Reduce legal risk and support trust-building for AI-powered flows and bots.
Supported Moderation Features
1. Built-in Moderation Node
- Leverages LLM or 3rd-party models (e.g., OpenAI Moderation API, HuggingFace ZeroShot).
- Flags, blocks, or reroutes content based on detected risk (sexual, hate, violence, self-harm, custom blacklist).
- Runs as a filter on input, output, or both.
2. Custom Moderation
- Bring your own rules: regex, phrase list, blocking scripts
- Chain with external APIs (Perspective, Google, AWS Comprehend, etc)
- Combine with Sticky Notes for documented policy
3. Moderation in Action
- Add directly before or after LLM/agent nodes
- Optionally connect block/redirect path for rejected content (“Sorry, that question is not allowed.”)
- Log all flagged events for audit/review
Example Flow: Safe Q&A Chatbot
- User Input → Moderation Node (OpenAI Moderation, “strict”)
- If flagged, respond: “Please avoid inappropriate language.”
- If safe, pass to LLM/agent for normal processing
Configuration Fields
- Provider: OpenAI, HuggingFace, RegEx, Custom, etc.
- Categories: Which types to block/warn (hate, adult, violence, medical, etc.)
- Severity Threshold: Tune: block everything, or only high-confidence
- On-Block Behavior: Message, re-prompt, escalate, or log only
Troubleshooting
- False/overblocking: Lower strictness or add whitelist patterns/checks
- Missed risks: Try multi-provider, ensemble, continuous retraining
- Performance: Batch moderate where possible for bulk ops
Best Practices
- Always include moderation in any externally-facing flow
- Audit logs and flagged items regularly
- Document content policies for users and review team
Moderation safeguards AI for the real world: trust, compliance, and user safety are built into every conversation and automation by design.