The platform is rolling out a new feature that allows them to reduce the amount of artificial intelligence-produced media appearing in their feeds. This initiative comes as the platform disclosed that it presently contains over 1 bn AI-generated clips.
Pilot Phase and Launch
The new functionality is undergoing trials over the next few weeks before a full-scale launch. This shift aligns with a increase in AI-generated material, driven by recent AI video creators.
AI Proliferation Online
Studies have shown that nearly a tenth of the quickest rising channels on another major platform exclusively feature content made by AI. A significant portion of this output is deemed low-quality AI content, a term for inferior, bulk-generated content that is often nonsensical or dreamlike.
Our research shows that numerous viewers appreciate content created using AI tools, from digital art to science explainers, and we intend to provide users the power to adjust the amount of that, based on their own likes,” said a spokesperson.
Volume and Proportions
The service disclosed that there are presently over a billion videos on its app tagged as AI-generated. In total, in excess of 100 m media items are added to the app every day, making AI-generated material a minor portion of its overall inventory.
User Control Features
Viewers will be capable of decrease or raise the level of AI-generated videos they view by using the content preference setting in the app and selecting the AI content topic. Additional categories that are already be modified under the setting include politics, fashion, aesthetics, and movement.
Content Labeling and Policies
The platform’s rules require users to label convincing AI-generated content, and it bans dangerous fake videos of celebrities or crisis events. Any realistic AI video that is unmarked can be taken down under its user guidelines.
Additionally, the app will henceforth add an artificially created label to content created with its own AI tools, or identified by an collaborative effort for identifying artificial media. This measure is designed to help prevent users from seeking to circumvent the labeling process.
Responsible AI Funding
The company is furthermore introducing a $2 million educational fund for specialists and institutions to produce informative material about ethical AI use. This project will support non-profit groups focused on educating programming and robotics.
Moderation Strategy
The video-sharing app has defended its content review process, following controversy over proposals to cut jobs for hundreds of content moderators in Britain. The company is planning to reduce a significant number of roles in its content moderation division in its British office, with trade unions and online safety experts voicing alarm that people are being substituted by AI moderation.
A trust and safety lead explained that staff-based oversight would continue to be important, but artificial intelligence can protect employees by filtering out the most distressing content ahead of it is viewed by people. The company reported a significant reduction in explicit and harmful content seen by content reviewers over the past year due to reliance on its machine learning processes.
“We think that it’s essential to combine people and machines to keep the platform safe,” she said. “We’ll have humans as part of that process, but we further consider it’s very important to minimize viewing of harmful content as rapidly, which is the area in which a significant AI assistance is really helping us operate efficiently.”
