The platform is rolling out a fresh option that enables them to lessen the amount of AI-made media appearing in their streams. This step comes as the platform disclosed that it currently hosts in excess of 1 billion content made with AI.
Trial and Implementation
The new functionality is in a pilot phase over the coming weeks before a global release. This advancement coincides with a rise in AI content, driven by recent video-generation tools.
AI Proliferation Online
It has been noted that approximately 10% of the most rapidly expanding video streams on a competing service primarily display clips produced artificially. A large amount of this output is classified as mass-produced AI material, a label for inferior, factory-style content that is often nonsensical or bizarre.
“We know from our community that many people enjoy content produced via AI tools, from computer-generated images to informative clips, and we intend to offer the community the option to see more or less of that, according to their own likes,” said a platform representative.
Scale of AI Content
The service shared that there are presently 1.3bn videos on its app identified as AI-generated. Overall, over 100 m pieces of content are uploaded to the app every day, making clips made by AI a limited portion of its complete catalog.
Customizing Your Feed
Members will be able to limit or boost the level of artificial media they view by opening the content preference feature in the platform and choosing “AI-generated content”. Further subjects that are already be modified under the tool encompass politics, style, cosmetics, and dance.
Content Labeling and Policies
The platform’s policies require users to tag convincing AI-generated content, and it bans dangerous deepfakes of well-known individuals or emergencies. Any authentic-looking AI video that is without a tag can be taken down under its user guidelines.
In addition, the platform will now attach an “AI-made” label to content created with its proprietary AI systems, or detected by an collaborative effort for recognizing artificial media. This measure is aimed to stop users from attempting to bypass the tagging system.
Educational Initiatives
The company is furthermore introducing a $2m AI literacy fund for experts and institutions to develop learning resources about responsible artificial intelligence. This project will benefit educational bodies focused on training computer science.
Content Safety Approach
The platform has justified its moderation strategy, during debate over proposals to cut jobs for a large number of review team members in the United Kingdom. The company is expected to cut 439 jobs in its user protection team in London, with labor groups and online safety experts voicing alarm that humans are being replaced by machine-led review.
A trust and safety lead stated that staff-based oversight would still have a role, but AI can shield workers by removing the most harmful content ahead of it is viewed by staff. TikTok reported a notable drop in disturbing and violent content seen by safety staff over the last 12 months due to intervention by its automated systems.
“We think that it’s essential to balance humans and technology to ensure user safety,” she said. “We’ll have people as integral to the approach, but we additionally believe it’s extremely critical to minimize viewing of unsafe media as rapidly, which is where a lot of the machine support is proving valuable process content quickly.”
