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TikTok is introducing a updated setting that enables them to lessen the amount of AI-created videos appearing in their streams. This initiative comes as the service disclosed that it currently hosts over 1 billion content made with AI.

Pilot Phase and Launch

The new functionality is being tested over the coming weeks before a widespread rollout. This advancement comes amid a increase in AI-generated material, fueled by emerging content generation software.

The Broader AI Trend

Recent reports that nearly a tenth of the fastest-growing content creators on a popular video site primarily display content made by AI. A significant portion of this material is classified as low-quality AI content, a phrase for poor-quality, bulk-generated content that is frequently illogical or bizarre.

Our research shows that a lot of users like content created using AI tools, ranging from computer-generated images to informative clips, and we intend to provide users the power to increase or decrease of that, depending on their own likes,” stated a spokesperson.

Scale of AI Content

The platform announced that there are currently over a billion videos on its service tagged as AI-generated. Overall, more than 100 million media items are uploaded to the app daily, making AI-generated material a limited percentage of its complete catalog.

Customizing Your Feed

Users will be able to reduce or increase the volume of AI-generated videos they watch by accessing the content preference setting in the application and choosing “AI-generated content”. Other topics that currently be controlled under the tool encompass politics, style, beauty, and choreography.

AI Disclosure Rules

Its rules require creators to tag “realistic” artificially created content, and it forbids harmful deepfakes of public figures or emergencies. Any realistic AI video that is without a tag can be taken down under its community policies.

Furthermore, the service will henceforth add an artificially created tag to content produced via its built-in AI features, or flagged by an industry-wide initiative for identifying content made by AI. This measure is intended to deter users from seeking to evade the labeling process.

Educational Initiatives

The company is furthermore launching a two million dollar awareness program for professionals and institutions to produce learning resources about using AI responsibly. This project will benefit educational bodies dedicated to training coding and technology.

Moderation Strategy

The video-sharing app has defended its content review process, amid debate over plans to cut jobs for hundreds of content moderators in the UK. It is expected to reduce 439 jobs in its content moderation division in its British office, with trade unions and online safety experts raising concerns that people are being substituted by machine-led review.

A senior executive clarified that human moderation would continue to be important, but automated tools can safeguard staff by filtering out the most graphic content ahead of it has to be seen by staff. The company announced a 76% decrease in shocking and graphic content reviewed by human moderators over the previous year due to reliance on its machine learning processes.

“We think that it’s essential to combine staff and AI to keep the platform safe,” she said. “We’ll have staff as involved in the system, but we also think it’s extremely critical to reduce exposure to unsafe media as quickly as possible, which is why a lot of the machine support is proving valuable process content quickly.”