Users will soon have a fresh option that allows them to reduce the quantity of AI-made content appearing in their timelines. This step comes as the platform revealed that it now features over 1 bn AI-generated clips.
Pilot Phase and Launch
This change is being tested over the coming weeks before a global release. This development aligns with a surge in AI-generated material, fueled by recent AI video creators.
AI Content on Other Platforms
Recent reports that almost a tenth of the most rapidly expanding content creators on another major platform only show content made by AI. A large amount of this material is classified as low-quality AI content, a term for substandard, mass-produced content that is often nonsensical or surreal.
“We know from our community that many people like content created using AI tools, ranging from digital art to educational videos, and we aim to give people the ability to increase or decrease of that, according to their own choices,” commented a platform representative.
Volume and Proportions
The service shared that there are currently 1.3bn videos on its service labeled as AI-generated. Overall, in excess of 100 mn media items are added to the platform every day, making AI-generated material a minor percentage of its total content library.
User Control Features
Users will be in a position to decrease or raise the amount of AI-generated videos they watch by accessing the content preference setting in the application and choosing the AI content topic. Further subjects that are already be controlled under the tool include current affairs, clothing, aesthetics, and movement.
AI Disclosure Rules
TikTok’s rules mandate content makers to label convincing AI-generated content, and it bans malicious AI impersonations of well-known individuals or crisis events. Any authentic-looking AI video that is unmarked can be removed under its user guidelines.
Furthermore, the app will from now on attach an “AI-made” tag to content created with its built-in AI features, or detected by an industry-wide initiative for recognizing artificial media. This action is aimed to help prevent users from attempting to bypass the labeling process.
Educational Initiatives
The company is additionally introducing a $2m educational fund for experts and organizations to produce learning resources about ethical AI use. This project will benefit non-profit groups focused on teaching computer science.
Moderation Strategy
The platform has justified its moderation strategy, amid debate over intentions to lay off numerous review team members in Britain. The company is set to reduce 439 jobs in its content moderation department in the UK capital, with worker representatives and online safety experts voicing alarm that people are being substituted by automated systems.
A company official explained that people-led review would continue to be important, but artificial intelligence can protect employees by filtering out the most graphic content ahead of it has to be seen by staff. The company announced a 76% decrease in disturbing and violent content seen by safety staff over the last 12 months due to the use of its machine learning processes.
It is vital to combine staff and AI to ensure user safety,” she said. “We’ll have staff as involved in the system, but we additionally believe it’s highly necessary to reduce exposure to unsafe media as quickly as possible, which is where a lot of the machine support is making a difference work at speed.”
