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TikTok Provides The Community Authority to Reduce AI-Generated Media in Personal Streams

TikTok is introducing a updated setting that permits them to reduce the volume of AI-made content appearing in their timelines. This move comes as the platform revealed that it currently hosts more than 1 thousand million AI-generated clips.

Trial and Implementation

This change is undergoing trials over the coming weeks before a global launch. This advancement comes amid a increase in AI-generated material, driven by new AI video creators.

AI Content on Other Platforms

Recent reports that approximately one in 10 of the quickest rising video streams on a competing service exclusively feature AI-generated videos. A considerable share of this content is deemed “AI slop”, a term for poor-quality, bulk-generated content that is often illogical or surreal.

“We know from our community that numerous viewers enjoy content produced via AI tools, ranging from computer-generated images to informative clips, and we aim to give people the option to adjust the amount of that, depending on their own choices,” stated a platform representative.

AI on the Platform

The service announced that there are presently over a billion videos on its network labeled as artificially created. In total, over 100 m pieces of content are uploaded to the service each day, making AI-generated material a limited portion of its complete catalog.

User Control Features

Members will be able to reduce or increase the volume of artificial media they see by accessing the content preference option in the platform and choosing AI-made media. Additional categories that can already be modified under the filter include news, fashion, aesthetics, and movement.

Content Labeling and Policies

TikTok’s policies mandate users to tag “realistic” AI-generated content, and it forbids harmful AI impersonations of celebrities or critical incidents. Any realistic artificial content that is not labeled can be removed under its terms of service.

In addition, the service will henceforth apply an AI-generated label to content produced via its proprietary AI systems, or detected by an collaborative effort for spotting content made by AI. This step is intended to deter users from trying to evade the labeling process.

Responsible AI Funding

The company is additionally establishing a $2m educational fund for specialists and groups to develop educational content about ethical AI use. This program will assist non-profit groups focused on teaching computer science.

Moderation Strategy

The platform has supported its safety measures, during controversy over plans to lay off a large number of review team members in the UK. The company is planning to eliminate 439 jobs in its user protection division in its British office, with labor groups and internet security professionals voicing alarm that people are being substituted by machine-led review.

A senior executive clarified that human moderation would remain essential, but automated tools can safeguard staff by eliminating the most graphic content before it has to be seen by humans. The platform stated a notable drop in shocking and graphic content reviewed by human moderators over the past year due to the use of its machine learning processes.

“We think that it’s essential to integrate people and machines to maintain a secure environment,” she said. “We’ll have humans as part of that process, but we also think it’s highly necessary to reduce exposure to unsafe media as quickly as possible, which is the area in which a extensive automated help is proving valuable process content quickly.”
The writer

Shannon Rose

A former professional sports analyst turned betting strategist with over a decade of experience in statistical modeling and risk assessment.

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