The platform is rolling out a updated setting that permits them to reduce the volume of AI-created videos appearing in their streams. This move comes as the platform revealed that it presently contains over 1 bn AI videos.
Pilot Phase and Launch
The update is being tested over the following weeks before a global rollout. This shift aligns with a increase in content created by AI, spurred by emerging video-generation tools.
AI Content on Other Platforms
Recent reports that approximately one in 10 of the fastest-growing channels on a competing service exclusively feature AI-generated videos. A considerable share of this material is deemed mass-produced AI material, a label for inferior, factory-style content that is frequently absurd or dreamlike.
Our research shows that a lot of users enjoy content produced via AI tools, from computer-generated images to educational videos, and we want to give people the ability to adjust the amount of that, based on their own preferences,” said a platform representative.
Scale of AI Content
The platform announced that there are now 1.3bn videos on its network tagged as made with AI. Overall, in excess of 100 million videos are submitted to the platform daily, making AI-generated material a relatively small portion of its overall inventory.
How to Adjust Settings
Members will be in a position to decrease or raise the volume of artificial media they watch by using the content preference option in the platform and picking AI-made media. Additional categories that can already be modified under the filter include current affairs, fashion, cosmetics, and movement.
Content Labeling and Policies
TikTok’s policies mandate users to tag lifelike AI-made content, and it bans malicious fake videos of celebrities or critical incidents. Any authentic-looking AI video that is without a tag can be deleted under its user guidelines.
In addition, the app will henceforth apply an “AI-made” tag to content made using its built-in AI features, or detected by an collaborative effort for identifying artificial media. This step is aimed to deter users from attempting to circumvent the labeling process.
AI Literacy Programs
The platform is furthermore establishing a $2m awareness program for professionals and institutions to produce educational content about using AI responsibly. This program will assist educational bodies focused on educating coding and technology.
Moderation Strategy
The platform has defended its content review process, following controversy over intentions to make redundant hundreds of review team members in Britain. It is planning to reduce a significant number of roles in its content moderation team in its British office, with labor groups and digital protection specialists expressing worry that staff are being displaced by machine-led review.
A trust and safety lead explained that staff-based oversight would still have a role, but automated tools can safeguard staff by eliminating the most graphic content before it has to be seen by people. The company reported a 76% decrease 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 balance humans and technology to maintain a secure environment,” the executive stated. “We’ll have staff as integral to the approach, but we also think it’s very important to limit contact with dangerous material as quickly as possible, which is where a extensive automated help is making a difference work at speed.”
