The Video Platform Grants Viewers Control to Reduce Artificial Intelligence-Made Videos in Their Feeds

Users will soon have a new feature that enables them to cut down on the amount of artificial intelligence-produced videos appearing in their feeds. This initiative comes as the service disclosed that it now features in excess of 1 thousand million content made with AI.

Testing and Rollout

This change is in a pilot phase over the following weeks before a full-scale launch. This advancement aligns with a increase in AI content, spurred by new video-generation tools.

The Broader AI Trend

It has been noted that approximately 10% of the quickest rising content creators on a competing service only show clips produced artificially. A large amount of this output is classified as mass-produced AI material, a phrase for substandard, factory-style content that is typically nonsensical or dreamlike.

Our research shows that a lot of users enjoy content created using AI tools, ranging from computer-generated images to science explainers, and we want to provide users the power to see more or less of that, depending on their own choices,” stated a spokesperson.

Volume and Proportions

TikTok disclosed that there are now over a billion videos on its network labeled as artificially created. Overall, more than 100 mn media items are added to the app every day, making AI content a minor part of its overall inventory.

User Control Features

Members will be able to reduce or increase the volume of AI content they watch by using the “manage topic” setting in the platform and selecting “AI-generated content”. Additional categories that currently be adjusted under the filter cover news, clothing, cosmetics, and dance.

AI Disclosure Rules

The platform’s policies oblige creators to tag convincing AI-made content, and it prohibits malicious AI impersonations of celebrities or emergencies. Any realistic AI video that is not labeled can be taken down under its community policies.

In addition, the service will from now on add an artificially created tag to content created with its own AI tools, or identified by an cross-platform project for spotting AI-generated material. This step is aimed to stop users from trying to bypass the disclosure requirement.

Responsible AI Funding

The platform is also introducing a $2m awareness program for experts and groups to develop learning resources about ethical AI use. This initiative will assist charitable organizations dedicated to educating computer science.

Moderation Strategy

The video-sharing app has justified its content review process, following controversy over proposals to cut jobs for hundreds of review team members in Britain. It is expected to cut hundreds of positions in its content moderation division in its British office, with labor groups and online safety experts expressing worry that humans are being replaced by machine-led review.

A trust and safety lead clarified that people-led review would continue to be important, but artificial intelligence can safeguard staff by eliminating the most distressing content prior to it is viewed by humans. The platform stated a 76% decrease in shocking and graphic content reviewed by safety staff over the past year due to the use of its automated systems.

It is vital to integrate staff and AI to ensure user safety,” the official commented. “We’ll have staff as integral to the approach, but we also think it’s extremely critical to reduce exposure to dangerous material as swiftly, which is why a significant AI assistance is making a difference work at speed.”
Kaitlyn Williams
Kaitlyn Williams

Marcus is a seasoned IT consultant with over 15 years of experience in cybersecurity and cloud infrastructure, passionate about helping businesses optimize their technology.