SafeBear filed 1 patent this quarter in the AI & Machine Learning category.
The application covers technology for detecting cyberbullying across social networks and video games using multiple AI systems. The approach involves real-time masking of toxic content while simultaneously recording evidence on blockchain for potential legal proceedings.
The single AI & Machine Learning patent filed this quarter describes a system that deploys multiple parallel AI models, each trained to recognize a different type of cyberbullying behavior, rather than relying on one generalized detection algorithm. This multi-brain architecture aims to improve accuracy by having specialized models evaluate content through different lenses simultaneously. When toxic content is identified, the system masks it in real-time to protect users while creating a blockchain-certified record of the original material. This dual function addresses both immediate harm reduction and the longer-term need for verifiable evidence in legal contexts.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.