Filter risky content, not relationships.
Smart Content Guardrails
Continue improving contextual AI-powered moderation filters and behavior models that intervene during harmful conversations instead of banning entire age groups from chatting.
Challenge
Rigid partitions ignore nuance: most conversations are safe, yet everyone pays the cost of AI misclassification.
Immediate impact
- Allows mixed-age creativity sessions while still actively catching and intervening in grooming attempts.
- Improves moderation accuracy by focusing on behavior instead of age demographics.
- Protects user privacy by removing the need for face or ID scans.
Implementation roadmap
Milestone
Contextual NLP (Natural Language Processing)
Continue the use of transformer models trained on Roblox chat data to classify risky intents (solicitation, harassment, self-harm discussions) in real time.
Milestone
Progressive Interventions
Warn, temporarily mute, and escalate to moderators based on severity, giving players feedback and chances to self-correct.
Milestone
Transparency Layer
Provide a visible log of interventions so users understand why a message was blocked, increasing user trust in the system.
Expected outcomes
- Contextual filters reduce false positives while still catching high-risk behavior.
- Moderators have full conversation history when intervening so decisions stay fair.
- Transparency logs increase community trust in the moderation process.
Resources needed
- Existing safety dashboards to visualize intervention data.
- Player education content for in-product warnings.