TikTok is introducing a new feature that permits them to lessen the amount of artificial intelligence-produced content appearing in their feeds. This initiative comes as the company revealed that it now features more than 1 thousand million AI-generated clips.
Trial and Implementation
The new functionality is being tested over the next few weeks before a widespread rollout. This advancement coincides with a surge in AI-generated material, fueled by emerging video-generation tools.
The Broader AI Trend
Studies have shown that approximately one in 10 of the most rapidly expanding video streams on a competing service only show AI-generated videos. A considerable share of this material is classified as mass-produced AI material, a phrase for substandard, bulk-generated content that is often illogical or bizarre.
“We know from our community that a lot of users appreciate content produced via AI tools, from digital art to science explainers, and we want to give people the power to adjust the amount of that, based on their own likes,” stated a platform representative.
Scale of AI Content
The service shared that there are now 1.3bn videos on its app labeled as AI-generated. Overall, more than 100 million pieces of content are added to the service each day, making clips made by AI a relatively small portion of its total content library.
User Control Features
Members will be in a position to limit or boost the amount of artificial media they see by accessing the topic control setting in the platform and choosing the AI content topic. Other topics that currently be controlled under the tool include news, fashion, beauty, and choreography.
Content Labeling and Policies
Its guidelines oblige content makers to identify lifelike artificially created content, and it prohibits malicious deepfakes of well-known individuals or critical incidents. Any realistic AI video that is unmarked can be deleted under its terms of service.
In addition, the app will now attach an “AI-made” watermark to content produced via its built-in AI features, or detected by an collaborative effort for identifying AI-generated material. This measure is designed to stop users from seeking to evade the labeling process.
Responsible AI Funding
The company is also launching a two million dollar AI literacy fund for experts and groups to create educational content about responsible artificial intelligence. This program will benefit non-profit groups focused on training computer science.
Moderation Strategy
The platform has supported its content review process, following controversy over proposals to make redundant a large number of content moderators in Britain. It is planning to cut hundreds of positions in its trust and safety department in the UK capital, with worker representatives and internet security professionals raising concerns that people are being substituted by AI moderation.
A company official explained that staff-based oversight would continue to be important, but automated tools can shield workers by filtering out the most graphic content ahead of it gets reviewed by staff. The company stated a notable drop in shocking and graphic content seen by safety staff over the past year due to the use of its AI tools.
It is vital to combine staff and AI to ensure user safety,” she said. “We’ll have people as part of that process, but we also think it’s very important to reduce exposure to unsafe media as quickly as possible, which is where a lot of the machine support is proving valuable work at speed.”
