UNLOCKING TRUST ENHANCING AI QUALITY FOR CONTENT UNDERSTANDING IN VISUAL DATA

In this presentation, we'll unpack how multimodal AI enhances content understanding of visual data, which is pivotal for ensuring quality and trust in digital communities. Through our work to date, we find that striking a balance between model sophistication and transparency is key to fostering trust, alongside the ability to swiftly adapt to evolving user behaviors and moderation standards. We'll discuss the overall importance of AI quality in this context, focusing on interpretability and feedback mechanisms needed to achieve these goals. More broadly, we'll also highlight how AI quality forms the foundation for the transformative impact of multimodal AI in creating safer digital environments.