Roblox Sentinel is an AI-driven system designed to identify potential child endangerment by leveraging contrastive learning techniques. This system addresses the challenges posed by imbalanced datasets by prioritizing recall to generate high-recall candidates for further investigation. It analyzes a user’s recent messages and scores them based on their similarity to both harmful and harmless examples. A key feature is the calculation of skewness to evaluate the presence of suspicious messaging patterns, indicating a higher likelihood of harmful behavior amidst harmless conversation.
Roblox Sentinel is an AI system that detects early signs of potential child endangerment, utilizing contrastive learning to navigate imbalanced datasets and identify rare unsafe content.
The system prioritizes recall over precision, creating a high-recall candidate generator that effectively identifies concerning behaviors by analyzing patterns across a user's messages.
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