YouTube is currently experimenting with a novel AI system designed to engage in conversations about the content you are viewing.
Google is in the process of testing a tool aimed at assisting content creators in managing their comment sections more effectively.
Google is running experiments with two artificial intelligence (AI) systems on its YouTube platform, aimed at improving the viewer experience and assisting content creators. The first experiment involves an AI designed to organize and manage the comments sections of long-form videos. This AI categorizes comments into easily digestible themes, making it easier for content creators to engage with their audience and maintain a clean comment section. Creators can use this tool to organize comments by topic, highlight specific comments, or even remove comments related to a specific subject. The experiment is currently active on a small number of videos in English with large comment sections and is part of YouTube's experimental features program, available to YouTube Premium subscribers.
The second experiment is a conversational AI chatbot that aims to enhance viewer interaction during video playback. Similar to Google's Bard or OpenAI's ChatGPT, this AI engages with viewers, offering answers to questions about the video they are watching, providing recommendations for related content, and more, all without interrupting video playback. Additionally, the chatbot can introduce increased interactivity, such as creating quizzes for viewers watching academic videos. This experiment is currently available to a limited number of people on select videos and will be rolled out more widely in the coming weeks for YouTube Premium subscribers in the U.S., specifically on the Android platform.
While these experiments offer exciting possibilities for both creators and viewers, YouTube emphasizes that these features are in the experimental phase, and they may evolve based on user feedback. YouTube is taking a cautious approach due to the inherent unpredictability of generative AI systems. As with any experimental feature, there may be adjustments and refinements before they are widely implemented across the platform.