Users will soon have a updated setting that allows them to reduce the amount of AI-made content appearing in their streams. This move comes as the platform announced that it presently contains more than 1 bn AI videos.
Trial and Implementation
The new functionality is being tested over the coming weeks before a widespread rollout. This shift aligns with a increase in content created by AI, fueled by new AI video creators.
AI Proliferation Online
It has been noted that almost 10% of the fastest-growing channels on a competing service exclusively feature AI-generated videos. A considerable share of this material is classified as low-quality AI content, a label for poor-quality, mass-produced content that is typically absurd or dreamlike.
Our research shows that numerous viewers enjoy content produced via AI tools, from computer-generated images to informative clips, and we intend to give people the power to see more or less of that, based on their own likes,” stated a company executive.
AI on the Platform
The service announced that there are presently 1.3 billion videos on its service identified as made with AI. Overall, more than 100 million videos are submitted to the platform daily, making AI content a limited part of its complete catalog.
Customizing Your Feed
Members will be in a position to reduce or increase the level of artificial media they watch by using the topic control feature in the application and picking AI-made media. Additional categories that are already be controlled under the filter encompass politics, style, beauty, and choreography.
Platform Guidelines
Its guidelines oblige creators to identify “realistic” AI-generated content, and it bans dangerous AI impersonations of well-known individuals or crisis events. Any authentic-looking AI-generated clip that is unmarked can be removed under its user guidelines.
Additionally, the platform will now apply an artificially created watermark to content created with its own AI tools, or flagged by an collaborative effort for identifying AI-generated material. This measure is designed to stop users from seeking to bypass the labeling process.
Educational Initiatives
The platform is furthermore introducing a $2 million educational fund for specialists and groups to produce informative material about responsible artificial intelligence. This initiative will support educational bodies dedicated to teaching coding and technology.
Content Safety Approach
The video-sharing app has supported its content review process, amid discussion over plans to cut jobs for hundreds of content moderators in the United Kingdom. The company is set to cut hundreds of positions in its user protection department in London, with worker representatives and internet security professionals expressing worry that people are being substituted by machine-led review.
A trust and safety lead clarified that human moderation would still have a role, but AI can shield workers by filtering out the most graphic content prior to it is viewed by people. The platform announced a significant reduction in explicit and harmful content reviewed by human moderators over the previous year due to intervention by its machine learning processes.
We believe it is crucial to combine people and machines to ensure user safety,” the executive stated. “We’ll have humans as involved in the system, but we also think it’s highly necessary to reduce exposure to harmful content as rapidly, which is the area in which a significant AI assistance is making a difference work at speed.”
