TikTok Provides The Community Authority to Limit Artificial Intelligence-Made Videos in Timelines

TikTok is introducing a new feature that allows them to cut down on the volume of AI-created videos appearing in their feeds. This move comes as the platform revealed that it presently contains in excess of 1 bn AI videos.

Pilot Phase and Launch

This change is being tested over the coming weeks before a global rollout. This shift aligns with a surge in AI content, fueled by new content generation software.

AI Content on Other Platforms

It has been noted that nearly 10% of the quickest rising channels on a popular video site primarily display clips produced artificially. A large amount of this output is deemed “AI slop”, a label for inferior, factory-style content that is typically illogical or dreamlike.

“We know from our community that numerous viewers appreciate content created using AI tools, ranging from digital art to educational videos, and we aim to provide users the ability to see more or less of that, depending on their own likes,” said a platform representative.

AI on the Platform

The service announced that there are presently 1.3bn videos on its network tagged as made with AI. In total, in excess of 100 m pieces of content are uploaded to the service every day, making AI content a minor percentage of its complete catalog.

User Control Features

Users will be in a position to reduce or increase the level of artificial media they watch by using the “manage topic” setting in the app and selecting “AI-generated content”. Additional categories that currently be controlled under the setting cover news, style, beauty, and choreography.

Content Labeling and Policies

Its rules mandate creators to tag convincing AI-generated content, and it forbids malicious AI impersonations of public figures or crisis events. Any believable AI-generated clip that is not labeled can be removed under its user guidelines.

Additionally, the service will from now on apply an artificially created watermark to content produced via its proprietary AI systems, or identified by an collaborative effort for spotting content made by AI. This measure is aimed to help prevent users from attempting to evade the labeling process.

Educational Initiatives

The platform is also establishing a two million dollar educational fund for specialists and institutions to produce informative material about using AI responsibly. This initiative will support educational bodies focused on educating computer science.

Platform Protection

The video-sharing app has defended its safety measures, during controversy over proposals to make redundant a large number of review team members in the UK. It is expected to cut 439 jobs in its user protection team in London, with trade unions and internet security professionals voicing alarm that humans are being replaced by automated systems.

A trust and safety lead explained that people-led review would continue to be important, but automated tools can shield workers by filtering out the most graphic content prior to it is viewed by staff. TikTok reported a notable drop in disturbing and violent content seen by human moderators over the last 12 months due to the use of its machine learning processes.

“We think that it’s essential to integrate humans and technology to maintain a secure environment,” she said. “We’ll have humans as integral to the approach, but we additionally believe it’s extremely critical to minimize viewing of harmful content as rapidly, which is where a significant AI assistance is proving valuable process content quickly.”
Elizabeth Weber
Elizabeth Weber

A productivity consultant and tech enthusiast who shares insights on optimizing workflows and digital tools for better time management.