Users will soon have a updated setting that allows them to lessen the volume of AI-made media appearing in their timelines. This move comes as the platform announced that it currently hosts in excess of 1 thousand million content made with AI.
Pilot Phase and Launch
The update is undergoing trials over the coming weeks before a global launch. This development coincides with a rise in content created by AI, spurred by recent video-generation tools.
The Broader AI Trend
It has been noted that approximately a tenth of the most rapidly expanding content creators on a popular video site exclusively feature AI-generated videos. A considerable share of this output is considered low-quality AI content, a label for poor-quality, mass-produced content that is typically illogical or dreamlike.
“We know from our community that a lot of users appreciate content made with AI tools, ranging from AI artwork to educational videos, and we want to provide users the power to see more or less of that, based on their own likes,” said a platform representative.
Volume and Proportions
TikTok disclosed that there are now over a billion videos on its network identified as made with AI. Collectively, more than 100 mn media items are submitted to the service every day, making AI-generated material a minor part of its overall inventory.
User Control Features
Users will be able to limit or boost the level of AI-generated videos they see by accessing the content preference feature in the platform and selecting the AI content topic. Further subjects that are already be adjusted under the filter cover news, fashion, aesthetics, and movement.
Platform Guidelines
TikTok’s guidelines require creators to label lifelike AI-made content, and it prohibits malicious deepfakes of well-known individuals or critical incidents. Any authentic-looking AI-generated clip that is unmarked can be taken down under its user guidelines.
In addition, the platform will henceforth apply an “AI-made” watermark to content made using its own AI tools, or flagged by an collaborative effort for recognizing AI-generated material. This step is designed to stop users from seeking to bypass the labeling process.
Responsible AI Funding
The company is also establishing a $2m educational fund for specialists and organizations to create learning resources about ethical AI use. This project will assist charitable organizations specializing in educating programming and robotics.
Platform Protection
The video-sharing app has defended its moderation strategy, during controversy over plans to make redundant numerous review team members in Britain. The company is expected to eliminate hundreds of positions in its user protection team in the UK capital, with trade unions and internet security professionals raising concerns that people are being substituted by machine-led review.
A trust and safety lead stated that people-led review would still have a role, but artificial intelligence can safeguard staff by eliminating the most graphic content ahead of it has to be seen by staff. The platform stated a 76% decrease in disturbing and violent content reviewed by content reviewers over the last 12 months due to reliance on its machine learning processes.
It is vital to integrate humans and technology to maintain a secure environment,” the official commented. “We’ll have people as integral to the approach, but we additionally believe it’s highly necessary to minimize viewing of dangerous material as rapidly, which is why a significant AI assistance is proving valuable work at speed.”
