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Description

A new artificial intelligence system has been developed to detect and respond to child sexual abuse material more efficiently, aimed at protecting victims at a faster rate. Utilizing real CSAM data, this AI effectively scans, identifies, and flags new images that depict child abuse with remarkable precision. In partnership with law enforcement and prominent Canadian universities, CEASE.ai employs a combination of neural networks and various AI models to achieve accurate detection of such harmful content. The system offers investigators a user-friendly plugin that allows them to upload images from their cases and run hash lists to filter out known content. Subsequently, the AI suggests potential labels and prioritizes images that may contain previously unseen CSAM. Investigators can then examine the flagged images, verify their illegal nature, strengthen their cases against perpetrators, and expedite the rescue of vulnerable victims. Additionally, social media platforms integrate with the CEASE.ai API endpoint, which processes all user-uploaded images in real time, ensuring that any content related to child abuse is swiftly identified and labeled by the system. This innovative approach not only enhances the efficiency of investigations but also contributes significantly to the protection of children at risk.

Description

A tailored neural network has been developed to efficiently triage reported online content. For an extended period, social media platforms have depended on users to flag abusive behavior, hate speech, and various forms of online harm. These reports are forwarded to moderation teams that assess each one on a case-by-case basis. Many platforms encounter an overwhelming number of reports daily, with a significant portion being resolved without any further action. However, reports that involve urgent matters—such as threats of suicide, violent acts, terrorism, or child exploitation—run the risk of being overlooked or not addressed promptly. This delay can lead to serious legal repercussions as well. Under the German law known as NetzDG, social media platforms are obligated to eliminate reported hate speech and unlawful content within a 24-hour timeframe, or they could incur fines reaching up to 50 million euros. As similar regulations regarding reported content are emerging in countries like France, Australia, and the UK, the need for effective moderation techniques is becoming increasingly critical. With Two Hat’s Predictive Moderation product, platforms have the capability to develop a specialized AI model that learns from the consistent decisions made by their moderation teams, thereby improving response times and accuracy in handling urgent reports. This innovation not only enhances user safety but also helps platforms navigate the complex landscape of legal compliance effectively.