SafeBear has 1 filed patent application in 1 category: AI & Machine Learning (1). The AI & Machine Learning filing covers technology for detecting cyberbullying across social networks and video games using a multi-brain artificial intelligence system.
The approach masks toxic content in real-time while recording evidence on blockchain for potential use in legal proceedings.
SafeBear's AI & Machine Learning patent application describes a system that deploys multiple parallel AI models, each trained to recognize a different type of cyberbullying behavior, rather than relying on a single detection algorithm. This multi-brain architecture processes content simultaneously across specialized models to identify toxic patterns with greater accuracy and contextual awareness than traditional single-model systems. When harmful content is detected, the system conceals it from the user's view immediately while simultaneously creating a blockchain-based record of the incident. This dual-function design addresses both real-time protection and evidence preservation, creating a verifiable audit trail that can be used in legal proceedings without relying on mutable databases or screenshots.
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