The platform is rolling out a updated setting that permits them to reduce the quantity of AI-made media appearing in their feeds. This initiative comes as the service announced that it currently hosts in excess of 1 thousand million AI videos.
Pilot Phase and Launch
The update is undergoing trials over the coming weeks before a full-scale launch. This development coincides with a rise in AI-generated material, spurred by emerging video-generation tools.
The Broader AI Trend
It has been noted that almost a tenth of the fastest-growing video streams on a competing service primarily display AI-generated videos. A considerable share of this content is considered low-quality AI content, a label for substandard, mass-produced content that is frequently illogical or surreal.
Based on user feedback that numerous viewers enjoy content made with AI tools, ranging from digital art to informative clips, and we want to offer the community the power to increase or decrease of that, according to their own likes,” commented a company executive.
Volume and Proportions
The platform disclosed that there are presently over a billion videos on its app tagged as made with AI. Collectively, in excess of 100 mn videos are submitted to the app every day, making AI content a limited part of its complete catalog.
User Control Features
Users will be in a position to decrease or raise the volume of AI content they view by opening the topic control setting in the app and choosing AI-made media. Additional categories that can already be controlled under the filter cover news, clothing, cosmetics, and choreography.
Content Labeling and Policies
Its policies require content makers to label “realistic” AI-made content, and it bans dangerous deepfakes of public figures or crisis events. Any realistic AI-generated clip that is unmarked can be taken down under its user guidelines.
Additionally, the platform will henceforth attach an “AI-made” label to content produced via its own AI tools, or detected by an cross-platform project for identifying AI-generated material. This measure is aimed to help prevent users from trying to bypass the disclosure requirement.
Educational Initiatives
The company is additionally launching a $2m educational fund for specialists and institutions to create learning resources about ethical AI use. This program will assist charitable organizations dedicated to teaching computer science.
Content Safety Approach
The platform has defended its moderation strategy, during debate over proposals to lay off hundreds of review team members in the United Kingdom. TikTok is set to reduce a significant number of roles in its user protection team in the UK capital, with trade unions and online safety experts raising concerns that staff are being displaced by machine-led review.
A company official stated that staff-based oversight would still have a role, but automated tools can protect employees by filtering out the most graphic content prior to it has to be seen by staff. The company announced a notable drop in disturbing and violent content seen by content reviewers over the previous year due to reliance on its automated systems.
“We think that it’s essential to balance humans and technology to ensure user safety,” the official commented. “We’ll have humans as integral to the approach, but we additionally believe it’s highly necessary to limit contact with harmful content as rapidly, which is where a extensive automated help is proving valuable work at speed.”
