TikTok is introducing a updated setting that allows them to lessen the volume of AI-created content appearing in their streams. This initiative comes as the platform revealed that it currently hosts more than 1 thousand million AI videos.
Testing and Rollout
The new functionality is undergoing trials over the coming weeks before a global launch. This development aligns with a surge in AI-generated material, fueled by emerging content generation software.
The Broader AI Trend
It has been noted that almost one in 10 of the fastest-growing channels on a competing service exclusively feature content made by AI. A large amount of this content is classified as mass-produced AI material, a phrase for poor-quality, bulk-generated content that is frequently absurd or dreamlike.
Based on user feedback that numerous viewers appreciate content produced via AI tools, ranging from digital art to educational videos, and we want to provide users the option to increase or decrease of that, depending on their own preferences,” stated a platform representative.
AI on the Platform
The platform shared that there are presently 1.3 billion videos on its network labeled as artificially created. Collectively, in excess of 100 million pieces of content are submitted to the service every day, making AI content a limited percentage of its overall inventory.
User Control Features
Users will be capable of reduce or increase the level of AI-generated videos they watch by opening the “manage topic” feature in the platform and selecting AI-made media. Additional categories that can already be adjusted under the filter include news, style, beauty, and movement.
Content Labeling and Policies
The platform’s rules oblige content makers to identify convincing artificially created content, and it prohibits dangerous fake videos of celebrities or critical incidents. Any realistic AI-generated clip that is not labeled can be removed under its user guidelines.
Furthermore, the app will henceforth attach an artificially created label to content created with its own AI tools, or identified by an collaborative effort for recognizing artificial media. This measure is intended to help prevent users from trying to circumvent the labeling process.
Responsible AI Funding
The platform is also launching a two million dollar educational fund for specialists and groups to produce informative material about using AI responsibly. This project will benefit non-profit groups focused on teaching computer science.
Content Safety Approach
The video-sharing app has defended its moderation strategy, during debate over proposals to lay off hundreds of content moderators in the UK. It is set to cut hundreds of positions in its user protection division in its British office, with trade unions and online safety experts expressing worry that staff are being displaced by automated systems.
A company official stated that people-led review would continue to be important, but AI can protect employees by removing the most harmful content prior to it gets reviewed by staff. The platform announced a 76% decrease in explicit and harmful content seen by content reviewers over the past year due to reliance on its machine learning processes.
“We think that it’s essential to integrate humans and technology to maintain a secure environment,” the executive stated. “We’ll have humans as involved in the system, but we also think it’s extremely critical to minimize viewing of unsafe media as swiftly, which is why a lot of the machine support is really helping us process content quickly.”
