We build context-aware AI to detect harmful content and keep brands and platforms safe

While AI has progressed in classifying content, human moderators remain key for online platforms. AI lacks nuanced understanding of context and culture needed for some moderation decisions. Laws also mandate human oversight. However, AI will likely take a larger role, requiring responsible implementation with transparency and accountability.

Old moderation methods are not keeping up with the rise of video. Current analysis lets harmful content slip through, failing to account for nuance and context. We need advanced, multimodal solutions, to ensure online safety for brands and users alike.

How to set up and use an HPC Cluster to scale up ML experiments 🚀

This article underscores the challenges in detecting Child Sexual Abuse Material (CSAM) online, spotlighting the limited efficacy of hash matching and the prospective advancements of AI classifiers. As legal frameworks like the UK's Online Safety Bill evolve, they may propel enhanced detection technologies, despite prevailing privacy and technical hurdles. Overall, this progression may lead to mandatory technology adoption and elevated live video content detection, marking a significant stride towards combating CSAM.

Unitary has secured $15M in Series A funding to enhance its AI video classification technology for safer online spaces. This funding, led by Creandum and joined by Paladin Capital Group and Plural, will help expand our team, advance R&D, and foster partnerships with major platforms. The goal is to address the increasing volumes of online content with AI, ensuring a safer digital experience and adherence to upcoming regulations like the UK's Online Safety Bill and the EU's Digital Services Act.

In the era of authenticity, consumers crave genuine connections with brands, fuelling the surge in influencer marketing. However, harnessing the power of user-generated content (UGC) carries both promise and peril for brand image. To successfully navigate these challenges, specialised tools that grasp the nuances and context of UGC are essential.

The implementation of watermarking for AI-generated content poses several challenges. This Deep Dive explores the complexities of watermarking for different media types, including images, audio, video, and text. And highlights the difficulties in creating robust watermarking techniques that can withstand various attacks.

Unitary's goal is to support safer and kinder online connections. Intimate exchanges can often have more than one meaning. Playful banter between consenting users could in certain cases be misclassified as harmful or vice versa. We believe these subtleties are important as they shape the quality of our online experiences.