The Video Platform Offers The Community Power to Decrease AI-Generated Content in Timelines

The platform is rolling out a new feature that enables them to lessen the quantity of AI-created videos appearing in their feeds. This move comes as the company disclosed that it now features over 1 thousand million AI-generated clips.

Testing and Rollout

This change is in a pilot phase over the next few weeks before a widespread release. This shift aligns with a surge in content created by AI, fueled by emerging content generation software.

AI Proliferation Online

Studies have shown that approximately 10% of the fastest-growing channels on another major platform only show content made by AI. A significant portion of this material is deemed low-quality AI content, a term for substandard, mass-produced content that is often illogical or bizarre.

Based on user feedback that many people like content made with AI tools, from computer-generated images to science explainers, and we intend to provide users the power to adjust the amount of that, according to their own likes,” said a platform representative.

Scale of AI Content

The service announced that there are now 1.3bn videos on its app tagged as AI-generated. In total, in excess of 100 million pieces of content are uploaded to the service every day, making AI content a relatively small part of its total content library.

Customizing Your Feed

Users will be in a position to limit or boost the amount of AI content they watch by using the content preference feature in the app and picking the AI content topic. Other topics that are already be adjusted under the filter include news, style, beauty, and choreography.

AI Disclosure Rules

Its rules oblige creators to identify convincing AI-generated content, and it prohibits malicious fake videos of public figures or critical incidents. Any realistic AI-generated clip that is without a tag can be deleted under its terms of service.

Additionally, the service will henceforth apply an “AI-made” watermark to content made using its built-in AI features, or detected by an collaborative effort for spotting content made by AI. This measure is intended to deter users from trying to bypass the labeling process.

Responsible AI Funding

The platform is furthermore establishing a $2 million awareness program for experts and institutions to develop learning resources about responsible artificial intelligence. This project will benefit non-profit groups focused on teaching computer science.

Content Safety Approach

TikTok has supported its safety measures, following controversy over intentions to cut jobs for a large number of safety staff in the UK. TikTok is planning to eliminate 439 jobs in its trust and safety team in London, with labor groups and online safety experts expressing worry that staff are being displaced by machine-led review.

A trust and safety lead explained that staff-based oversight would remain essential, but AI can shield workers by eliminating the most harmful content ahead of it has to be seen by staff. The company announced a 76% decrease in disturbing and violent content seen by human moderators over the last 12 months due to reliance on its machine learning processes.

“We think that it’s essential to combine humans and technology to maintain a secure environment,” the executive stated. “We’ll have people as part of that process, but we also think it’s highly necessary to limit contact with unsafe media as rapidly, which is why a lot of the machine support is making a difference process content quickly.”
Michael Wood
Michael Wood

A seasoned betting analyst with over a decade of experience in sports wagering and statistical modeling, known for his data-driven approach.