Getting Started with AI Moderation

Stream's AI Moderation product provides a comprehensive solution for managing harmful content in user-generated platforms, offering tools to set up, configure, and automate moderation policies across text, images, and video. Users can start by setting up their projects on Stream's Dashboard, selecting the appropriate data region for compliance with regulations like GDPR or HIPAA, and then configuring moderation policies. These policies leverage AI models, such as large language models (LLM) and natural language processing (NLP), to detect harmful content with contextual understanding, and offer features like AI-powered image and video moderation, semantic filters, and blocklists for rule-based content control. The system's Rule Builder allows for automation of responses to violations, streamlining moderation tasks and ensuring swift actions against harmful activities. Testing configurations is crucial to validate the system's effectiveness, and real-time feedback is available through generated test content. The Moderation Dashboard serves as the control center for reviewing flagged content, enabling moderators to act on text, media, and user behaviors, all while maintaining a transparent audit trail of actions. This setup promises a fast and flexible moderation framework that can be customized to meet the unique needs of any platform, ensuring real-time prevention and management of harmful content.