TikTok is introducing a new feature that enables them to reduce the quantity of AI-made content appearing in their feeds. This move comes as the service announced that it currently hosts more than 1 bn AI videos.
Testing and Rollout
The new functionality is undergoing trials over the following weeks before a full-scale launch. This advancement comes amid a surge in content created by AI, fueled by new AI video creators.
AI Content on Other Platforms
Recent reports that nearly one in 10 of the quickest rising channels on a competing service exclusively feature content made by AI. A large amount of this content is deemed low-quality AI content, a phrase for substandard, mass-produced content that is frequently illogical or dreamlike.
Based on user feedback that many people like content created using AI tools, from digital art to science explainers, and we aim to give people the ability to see more or less of that, depending on their own likes,” said a platform representative.
Scale of AI Content
TikTok shared that there are now 1.3 billion videos on its network labeled as AI-generated. Overall, over 100 million media items are added to the service each day, making AI-generated material a minor part of its total content library.
User Control Features
Members will be in a position to decrease or raise the volume of AI content they view by using the content preference setting in the platform and picking the AI content topic. Further subjects that are already be modified under the tool encompass news, style, aesthetics, and choreography.
Content Labeling and Policies
TikTok’s rules oblige content makers to label convincing AI-made content, and it bans malicious fake videos of celebrities or critical incidents. Any realistic AI video that is unmarked can be deleted under its community policies.
Additionally, the platform will henceforth add an “AI-made” tag to content made using its own AI tools, or identified by an industry-wide initiative for recognizing content made by AI. This action is intended to help prevent users from attempting to bypass the labeling process.
Educational Initiatives
The platform is furthermore establishing a $2 million awareness program for experts and organizations to produce educational content about ethical AI use. This project will support charitable organizations focused on teaching programming and robotics.
Platform Protection
The platform has justified its safety measures, during debate over plans to cut jobs for a large number of safety staff in the UK. The company is planning to cut 439 jobs in its user protection team in London, with trade unions and internet security professionals raising concerns that people are being substituted by automated systems.
A trust and safety lead clarified that staff-based oversight would continue to be important, but automated tools can shield workers by eliminating the most distressing content prior to it gets reviewed by staff. The company announced a 76% decrease in explicit and harmful content handled by human moderators over the past year due to intervention by its machine learning processes.
“We think that it’s essential to combine people and machines to ensure user safety,” the official commented. “We’ll have people as integral to the approach, but we further consider it’s extremely critical to reduce exposure to dangerous material as swiftly, which is why a lot of the machine support is proving valuable process content quickly.”
