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The Video Platform Grants The Community Power to Limit Artificial Intelligence-Made Content in Their Feeds

Users will soon have a new feature that enables them to cut down on the volume of AI-made videos appearing in their timelines. This step comes as the service revealed that it currently hosts more than 1 bn content made with AI.

Pilot Phase and Launch

This change is undergoing trials over the next few weeks before a full-scale launch. This advancement coincides with a increase in AI-generated material, spurred by emerging AI video creators.

The Broader AI Trend

Recent reports that almost 10% of the fastest-growing content creators on a popular video site only show AI-generated videos. A considerable share of this content is considered “AI slop”, a phrase for substandard, bulk-generated content that is frequently absurd or bizarre.

Based on user feedback that many people appreciate content produced via AI tools, from AI artwork to science explainers, and we want to offer the community the power to adjust the amount of that, according to their own likes,” said a spokesperson.

Volume and Proportions

TikTok disclosed that there are presently 1.3 billion videos on its app identified as made with AI. Collectively, more than 100 mn media items are submitted to the service every day, making AI-generated material a limited portion of its overall inventory.

Customizing Your Feed

Viewers will be in a position to reduce or increase the volume of AI-generated videos they see by accessing the content preference feature in the application and selecting AI-made media. Further subjects that are already be adjusted under the setting encompass current affairs, fashion, beauty, and dance.

Content Labeling and Policies

Its policies mandate users to tag lifelike AI-made content, and it prohibits dangerous AI impersonations of public figures or crisis events. Any believable AI-generated clip that is not labeled can be removed under its terms of service.

Additionally, the app will now add an “AI-made” label to content produced via its proprietary AI systems, or detected by an cross-platform project for spotting artificial media. This action is aimed to help prevent users from attempting to circumvent the labeling process.

Educational Initiatives

The platform is also establishing a $2 million AI literacy fund for professionals and organizations to create informative material about using AI responsibly. This initiative will assist non-profit groups focused on teaching computer science.

Content Safety Approach

The video-sharing app has justified its content review process, amid controversy over intentions to lay off a large number of review team members in Britain. The company is expected to reduce hundreds of positions in its trust and safety division in London, with worker representatives and internet security professionals raising concerns that humans are being replaced by machine-led review.

A senior executive stated that staff-based oversight would continue to be important, but AI can shield workers by filtering out the most harmful content ahead of it gets reviewed by people. The platform announced a notable drop in disturbing and violent content reviewed by content reviewers over the last 12 months due to reliance on its AI tools.

We believe it is crucial to combine people and machines to ensure user safety,” the executive stated. “We’ll have people as integral to the approach, but we also think it’s extremely critical to limit contact with harmful content as rapidly, which is where a lot of the machine support is really helping us operate efficiently.”
DW
About the author

Daniel Watson

A tech journalist and gaming enthusiast with over a decade of experience covering hardware innovations and esports developments.

VectorPlay UK

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