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Users will soon have a new feature that enables them to reduce the volume of AI-made content appearing in their timelines. This step comes as the company announced that it presently contains in excess of 1 bn AI videos.

Testing and Rollout

This change is undergoing trials over the next few weeks before a widespread launch. This shift aligns with a rise in content created by AI, spurred by emerging AI video creators.

The Broader AI Trend

It has been noted that approximately one in 10 of the most rapidly expanding content creators on a competing service exclusively feature content made by AI. A significant portion of this material is deemed mass-produced AI material, a phrase for poor-quality, mass-produced content that is often absurd or dreamlike.

Based on user feedback that numerous viewers like content made with AI tools, ranging from digital art to informative clips, and we want to offer the community the option to increase or decrease of that, based on their own preferences,” commented a company executive.

Scale of AI Content

TikTok shared that there are currently 1.3 billion videos on its network tagged as made with AI. In total, over 100 million pieces of content are submitted to the platform daily, making AI content a relatively small portion of its total content library.

Customizing Your Feed

Viewers will be able to decrease or raise the volume of AI-generated videos they see by accessing the “manage topic” setting in the application and selecting AI-made media. Further subjects that currently be controlled under the filter encompass news, fashion, aesthetics, and dance.

Platform Guidelines

Its policies mandate users to identify lifelike artificially created content, and it forbids harmful deepfakes of public figures or emergencies. Any realistic AI-generated clip that is not labeled can be deleted under its user guidelines.

Additionally, the platform will from now on add an “AI-made” watermark to content produced via its own AI tools, or identified by an collaborative effort for spotting AI-generated material. This step is designed to deter users from seeking to evade the tagging system.

AI Literacy Programs

The company is furthermore launching a $2 million educational fund for experts and institutions to develop informative material about responsible artificial intelligence. This project will assist charitable organizations focused on training computer science.

Content Safety Approach

The video-sharing app has supported its content review process, following debate over plans to make redundant a large number of content moderators in the UK. The company is set to reduce a significant number of roles in its content moderation team in its British office, with trade unions and digital protection specialists expressing worry that humans are being replaced by machine-led review.

A senior executive explained that people-led review would still have a role, but automated tools can safeguard staff by filtering out the most distressing content ahead of it has to be seen by people. The company reported a 76% decrease in explicit and harmful content handled by safety staff over the past year due to the use of its machine learning processes.

We believe it is crucial to integrate people and machines to keep the platform safe,” the official commented. “We’ll have staff as integral to the approach, but we also think it’s highly necessary to limit contact with unsafe media as quickly as possible, which is why a extensive automated help is proving valuable process content quickly.”