Users will soon have a new feature that enables them to lessen the amount of AI-created media appearing in their feeds. This step comes as the service disclosed that it presently contains more than 1 bn AI-generated clips.
Testing and Rollout
The new functionality is being tested over the coming weeks before a global launch. This development comes amid a rise in AI-generated material, fueled by emerging video-generation tools.
The Broader AI Trend
It has been noted that almost 10% of the quickest rising channels on a popular video site exclusively feature content made by AI. A considerable share of this material is considered low-quality AI content, a phrase for substandard, bulk-generated content that is typically illogical or surreal.
Our research shows that numerous viewers enjoy content produced via AI tools, ranging from AI artwork to educational videos, and we intend to offer the community the power to increase or decrease of that, according to their own preferences,” stated a company executive.
Volume and Proportions
The platform shared that there are currently 1.3bn videos on its network tagged as AI-generated. Collectively, more than 100 m videos are submitted to the service each day, making AI-generated material a relatively small part of its complete catalog.
How to Adjust Settings
Users will be capable of reduce or increase the amount of artificial media they view by using the content preference feature in the platform and choosing “AI-generated content”. Further subjects that are already be adjusted under the filter cover news, style, cosmetics, and movement.
Content Labeling and Policies
TikTok’s rules oblige users to label convincing AI-made content, and it forbids dangerous deepfakes of celebrities or crisis events. Any authentic-looking artificial content that is unmarked can be taken down under its terms of service.
Additionally, the platform will from now on add an “AI-made” label to content created with its built-in AI features, or flagged by an cross-platform project for identifying AI-generated material. This action is designed to stop users from attempting to circumvent the tagging system.
Educational Initiatives
The platform is additionally introducing a $2m awareness program for specialists and groups to produce educational content about ethical AI use. This project will assist educational bodies specializing in training programming and robotics.
Moderation Strategy
The platform has defended its safety measures, during debate over intentions to make redundant hundreds of review team members in Britain. It is set to reduce 439 jobs in its user protection department in London, with labor groups and online safety experts voicing alarm that people are being substituted by machine-led review.
A trust and safety lead stated that human moderation would remain essential, but automated tools can protect employees by removing the most harmful content ahead of it gets reviewed by humans. The platform announced a 76% decrease in shocking and graphic content reviewed by safety staff over the previous year due to the use of its machine learning processes.
“We think that it’s essential to integrate staff and AI to ensure user safety,” the executive stated. “We’ll have people as involved in the system, but we additionally believe it’s highly necessary to reduce exposure to harmful content as swiftly, which is where a lot of the machine support is proving valuable operate efficiently.”
