Gcore has launched Gcore AI Content Moderation, a real-time solution that enables online service providers to automate moderation of voice, text, and user-generated video content without requiring prior artificial intelligence (AI) or machine learning (ML) experience, helping organizations improve user safety and ensure compliance with regulations such as the EU's Digital Services Act (DSA) and the UK's Online Safety Bill (OSB).
From comments to long-form videos, platforms that host user-generated content (UGC) or content accessible to children must moderate it to protect viewers from offensive, violent, illegal or age-inappropriate content. Social media, gaming, e-commerce, education and digital advertising are just a few of the industries in which organizations have legal obligations. Exposing users to harmful content can lead to reputational damage, legal investigations, service suspensions, bans and significant fines (up to 6% of DSA's global revenue).
Real-time AI content moderation
The exponential growth of UGC means that human moderation cannot meet the challenge of identifying harmful or illegal content: the volume of content overwhelms moderators, making it cost-prohibitive, or operational inefficiencies mean violations go unnoticed and delay the publication of legitimate content.
Gcore AI content moderation automates the review of video content streams, flagging inappropriate content and alerting human moderators when necessary. The solution integrates cutting-edge technology to start reviewing videos and live streams within seconds of publication.
- State-of-the-art computer vision: Advanced computer vision models are used for object detection, segmentation, and classification to accurately identify and flag inappropriate visual content.
- Optical Character Recognition (OCR): Any text that appears in the video will be converted into a machine-readable format, allowing you to control any inappropriate or sensitive text information that appears within your video content.
- voice recognition: Advanced algorithms analyze audio tracks to detect and flag foul language and hate speech, moderating audio as effectively as visual content.
- Aggregating the outputs of multiple models: Complex decisions, such as identifying child exploitation content, require combining multiple data points and outputs from different models. Gcore AI content moderation aggregates these outputs to make accurate and reliable moderation decisions.
Organizations can quickly integrate Gcore AI content moderation into their existing infrastructure via APIs, without any prior AI or ML experience. AI content moderation runs on Gcore's global network of 180+ edge points of presence with over 200 Tbps of capacity, ensuring low latency, speed, and resiliency to customers.
“Human-only content moderation has become an unmanageable task as it is impossible to allocate sufficient manpower and keep costs down,” they said. Alexei Petrovsky, Head of Video Streaming at Gcore“Gcore AI content moderation gives organizations the ability to moderate content on a global scale while simultaneously allowing humans to review flagged content. This new service plays a critical role in helping companies protect their users, communities, their own reputations, and ensure regulatory compliance.”
