The platform is rolling out a new feature that permits them to reduce the volume of AI-created media appearing in their streams. This step comes as the service announced that it presently contains more than 1 bn AI-generated clips.
Pilot Phase and Launch
The update is undergoing trials over the next few weeks before a global rollout. This advancement comes amid a surge in AI-generated material, spurred by emerging video-generation tools.
AI Proliferation Online
Studies have shown that nearly 10% of the fastest-growing video streams on another major platform only show content made by AI. A large amount of this material is considered mass-produced AI material, a label for poor-quality, factory-style content that is typically illogical or bizarre.
Our research shows that a lot of users enjoy content created using AI tools, ranging from digital art to educational videos, and we want to provide users the power to adjust the amount of that, depending on their own likes,” stated a spokesperson.
Scale of AI Content
The platform announced that there are currently over a billion videos on its app identified as artificially created. Collectively, more than 100 million pieces of content are added to the service each day, making clips made by AI a minor percentage of its complete catalog.
How to Adjust Settings
Members will be in a position to reduce or increase the volume of AI-generated videos they view by opening the topic control option in the app and choosing AI-made media. Further subjects that are already be adjusted under the setting include news, fashion, aesthetics, and dance.
Content Labeling and Policies
The platform’s rules mandate users to identify lifelike AI-made content, and it forbids harmful deepfakes of public figures or crisis events. Any believable AI video that is without a tag can be deleted under its community policies.
In addition, the app will now add an AI-generated label to content produced via its own AI tools, or flagged by an collaborative effort for recognizing AI-generated material. This step is aimed to stop users from trying to circumvent the labeling process.
AI Literacy Programs
The company is furthermore launching a two million dollar AI literacy fund for experts and institutions to produce educational content about responsible artificial intelligence. This initiative will benefit charitable organizations dedicated to educating coding and technology.
Content Safety Approach
The video-sharing app has defended its content review process, amid controversy over plans to make redundant a large number of content moderators in Britain. TikTok is planning to reduce 439 jobs in its user protection team in London, with trade unions and digital protection specialists raising concerns that people are being substituted by machine-led review.
A senior executive clarified that staff-based oversight would remain essential, but automated tools can safeguard staff by eliminating the most harmful content prior to it is viewed by humans. The platform announced a 76% decrease in disturbing and violent content reviewed by safety staff over the previous year due to the use of its machine learning processes.
We believe it is crucial to combine people and machines to ensure user safety,” she said. “We’ll have people as integral to the approach, but we further consider it’s highly necessary to limit contact with dangerous material as swiftly, which is why a lot of the machine support is making a difference process content quickly.”
