Evidence summaries
AI can summarize reports, logs, player history, chat context, and anti-cheat signals into a concise staff review packet.
AI Moderation
Use AI to compress evidence, not replace judgment.
TIRust AI moderation concepts focus on staff decision support: summarizing evidence, clustering reports, explaining risk factors, and identifying missing context while humans keep authority over serious actions.
Report triage
Models can group duplicate reports, prioritize urgent cases, and route incidents to the right staff channel or workflow.
Anomaly explanation
AI can explain why a player was flagged by combining signal factors, confidence levels, and missing context.
No autonomous severe actions
AI should not issue permanent bans, remove purchases, or make irreversible trust decisions without human review.
Privacy and data minimization
Moderation tooling should use the minimum data required for safety, appeals, and abuse prevention.
Auditability
AI outputs should be logged as assistance, not as fact. Staff decisions need their own documented rationale.
Related pages
See Moderation Systems for staff workflows, Anti-Cheat Intelligence for signal handling, and Infrastructure for the telemetry stack.