Users will soon have a fresh option that permits them to cut down on the volume of AI-created media appearing in their timelines. This initiative comes as the platform announced that it presently contains over 1 billion AI-generated clips.
Pilot Phase and Launch
This change is being tested over the following weeks before a global launch. This shift coincides with a surge in AI-generated material, fueled by new content generation software.
AI Proliferation Online
Recent reports that almost 10% of the quickest rising channels on a popular video site only show content made by AI. A large amount of this content is classified as mass-produced AI material, a label for inferior, bulk-generated content that is often absurd or surreal.
“We know from our community that many people appreciate content produced via AI tools, including AI artwork to science explainers, and we aim to provide users the power to adjust the amount of that, according to their own preferences,” commented a platform representative.
Volume and Proportions
TikTok announced that there are currently over a billion videos on its service labeled as AI-generated. Collectively, over 100 mn media items are submitted to the platform daily, making clips made by AI a relatively small portion of its complete catalog.
Customizing Your Feed
Viewers will be in a position to reduce or increase the level of AI content they watch by opening the “manage topic” feature in the platform and selecting AI-made media. Further subjects that currently be controlled under the tool cover politics, clothing, aesthetics, and movement.
Content Labeling and Policies
TikTok’s rules oblige users to tag “realistic” artificially created content, and it bans malicious deepfakes of celebrities or crisis events. Any realistic artificial content that is without a tag can be removed under its terms of service.
In addition, the app will henceforth attach an AI-generated label to content created with its proprietary AI systems, or identified by an cross-platform project for identifying AI-generated material. This action is aimed to deter users from attempting to evade the tagging system.
Responsible AI Funding
The platform is additionally launching a $2m AI literacy fund for experts and groups to develop informative material about using AI responsibly. This project will benefit charitable organizations focused on training computer science.
Content Safety Approach
The platform has supported its safety measures, following discussion over plans to cut jobs for numerous safety staff in the UK. It is expected to cut a significant number of roles in its user protection division in its British office, with trade unions and digital protection specialists voicing alarm that staff are being displaced by machine-led review.
A trust and safety lead explained that staff-based oversight would still have a role, but automated tools can safeguard staff by eliminating the most harmful content ahead of it is viewed by staff. The company reported a 76% decrease in disturbing and violent content reviewed by safety staff over the previous year due to reliance on its machine learning processes.
“We think that it’s essential to integrate humans and technology to ensure user safety,” she said. “We’ll have humans as integral to the approach, but we further consider it’s highly necessary to limit contact with unsafe media as rapidly, which is the area in which a extensive automated help is really helping us work at speed.”
