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TikTok Offers The Community Power to Limit Artificial Intelligence-Made Content in Personal Streams

Users will soon have a updated setting that enables them to reduce the volume of AI-made content appearing in their feeds. This step comes as the platform revealed that it now features more than 1 billion content made with AI.

Testing and Rollout

The new functionality is being tested over the following weeks before a full-scale release. This advancement coincides with a increase in content created by AI, fueled by recent AI video creators.

The Broader AI Trend

Recent reports that approximately 10% of the most rapidly expanding channels on another major platform only show AI-generated videos. A significant portion of this content is considered low-quality AI content, a phrase for poor-quality, mass-produced content that is frequently nonsensical or bizarre.

Our research shows that many people enjoy content produced via AI tools, from digital art to science explainers, and we aim to give people the power to see more or less of that, depending on their own likes,” stated a platform representative.

AI on the Platform

The service disclosed that there are now 1.3bn videos on its service tagged as AI-generated. Overall, over 100 mn videos are added to the service daily, making AI-generated material a minor portion of its complete catalog.

User Control Features

Viewers will be in a position to decrease or raise the volume of AI-generated videos they watch by accessing the content preference option in the application and picking AI-made media. Further subjects that can already be adjusted under the setting cover news, style, aesthetics, and dance.

Platform Guidelines

TikTok’s rules require content makers to tag “realistic” AI-made content, and it forbids harmful deepfakes of well-known individuals or emergencies. Any authentic-looking AI video that is not labeled can be deleted under its community policies.

Additionally, the platform will now add an artificially created label to content created with its built-in AI features, or detected by an cross-platform project for recognizing content made by AI. This action is designed to deter users from trying to bypass the tagging system.

Educational Initiatives

The company is additionally launching a $2m AI literacy fund for experts and institutions to create educational content about using AI responsibly. This initiative will assist non-profit groups focused on educating programming and robotics.

Content Safety Approach

The video-sharing app has justified its content review process, amid debate over proposals to cut jobs for numerous review team members in Britain. It is planning to eliminate hundreds of positions in its content moderation division in the UK capital, with trade unions and digital protection specialists raising concerns that people are being substituted by AI moderation.

A trust and safety lead explained that human moderation would still have a role, but artificial intelligence can shield workers by removing the most harmful content before it is viewed by humans. The company stated a notable drop in explicit and harmful content seen by safety staff over the previous year due to the use of its machine learning processes.

“We think that it’s essential to integrate staff and AI to ensure user safety,” she said. “We’ll have humans as involved in the system, but we further consider it’s very important to minimize viewing of dangerous material as swiftly, which is why a lot of the machine support is really helping us process content quickly.”
The writer

Aaron Alvarado

Elara is a seasoned gaming analyst and writer, specializing in online casino reviews and strategies to enhance player experiences.

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