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TikTok Grants The Community Control to Reduce Artificial Intelligence-Made Content in Personal Streams

The platform is rolling out a updated setting that enables them to cut down on the quantity of artificial intelligence-produced videos appearing in their timelines. This step comes as the service disclosed that it now features over 1 thousand million AI videos.

Pilot Phase and Launch

This change is undergoing trials over the coming weeks before a widespread launch. This development coincides with a rise in AI content, fueled by new AI video creators.

AI Proliferation Online

It has been noted that approximately a tenth of the fastest-growing channels on another major platform only show content made by AI. A significant portion of this output is considered “AI slop”, a label for inferior, mass-produced content that is often nonsensical or surreal.

Our research shows that numerous viewers like content created using AI tools, from AI artwork to informative clips, and we want to provide users the power to adjust the amount of that, depending on their own choices,” stated a platform representative.

Scale of AI Content

TikTok shared that there are currently over a billion videos on its service identified as AI-generated. Overall, over 100 m pieces of content are added to the platform each day, making clips made by AI a minor portion of its total content library.

Customizing Your Feed

Viewers will be capable of limit or boost the level of artificial media they view by opening the content preference option in the application and selecting the AI content topic. Additional categories that currently be controlled under the tool encompass politics, fashion, cosmetics, and movement.

AI Disclosure Rules

The platform’s rules mandate content makers to label lifelike AI-generated content, and it bans harmful AI impersonations of public figures or crisis events. Any realistic AI-generated clip that is not labeled can be taken down under its community policies.

Additionally, the platform will henceforth attach an “AI-made” watermark to content created with its proprietary AI systems, or identified by an industry-wide initiative for spotting content made by AI. This step is designed to help prevent users from attempting to circumvent the labeling process.

Responsible AI Funding

The platform is also establishing a $2 million awareness program for experts and institutions to develop educational content about responsible artificial intelligence. This project will support non-profit groups dedicated to teaching programming and robotics.

Content Safety Approach

The video-sharing app has defended its safety measures, following debate over proposals to cut jobs for a large number of review team members in the United Kingdom. It is set to cut a significant number of roles in its user protection team in London, with worker representatives and digital protection specialists voicing alarm that staff are being displaced by machine-led review.

A trust and safety lead stated that people-led review would still have a role, but automated tools can safeguard staff by eliminating the most harmful content before it is viewed by staff. The platform reported a significant reduction in shocking and graphic content reviewed by human moderators over the last 12 months due to the use of its machine learning processes.

We believe it is crucial to balance people and machines to maintain a secure environment,” she said. “We’ll have humans as integral to the approach, but we also think it’s extremely critical to limit contact with harmful content as rapidly, which is why a extensive automated help is really helping us operate efficiently.”
FM
About the author

Frances Mendoza

Eleanor Vance is a seasoned precious metals analyst with 15 years of experience in the gold investment industry.

PrimeGoldLab UK

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