đ¤AI Chat Moderation
Learn more about AI powered moderation designed to ease your day!
Last updated
Learn more about AI powered moderation designed to ease your day!
Last updated
Elevate your server with AI-Powered Chat Moderation, a game-changing feature that utilizes OpenAI's GPT to maintain a safe and inclusive community. It goes beyond traditional moderation by understanding the context of chat messages, efficiently identifying and removing content that is sexual, hateful, harmful, or promotes self-harm. This moderation is passive and operates seamlessly to ensure a secure environment for all players. It's currently limited to English language content but offers comprehensive coverage across several types of violations.
We believe the server chat should be a safe space for everyone, and by implementing these changes
This is a passive chat filter, and sends chat messages to a server where it is processed. No data is or will ever be stored.
This AI chat moderation tool is a forward-thinking solution designed to create a safer online environment, enabling server customization to match community standards while offering ease of management.
Current violations, checked and categorized by AI:
swearing
sexual
hate
harassment
self-harm
violence
ai.yml
Setting enabled: true
activates the AI chat filter. This feature can be completely toggled off if desired.
Determines if a player should be punished for each violation within a single message or just once. false
implies a single action will be taken regardless of the number of violations.
The filters
section defines various types of content to monitor and the corresponding actions to take when violations are detected. Each category (e.g., swearing, sexual content, hate speech) can be individually enabled and linked with specific actions such as warning the player.
Actions are customizable. %player%
will be replaced with the violator's name, and %message%
(not shown but applicable) with the offending message.
When enabled, all filtered messages, along with details of the violation, are logged to the console. This aids in monitoring and adjusting the filter's effectiveness.