Users will soon have a new feature that enables them to reduce the volume of AI-made content appearing in their timelines. This move comes as the platform announced that it presently contains over 1 bn content made with AI.
Trial and Implementation
The new functionality is in a pilot phase over the following weeks before a widespread release. This shift coincides with a increase in AI-generated material, spurred by emerging video-generation tools.
The Broader AI Trend
It has been noted that nearly one in 10 of the most rapidly expanding video streams on a popular video site primarily display clips produced artificially. A considerable share of this material is classified as “AI slop”, a label for substandard, bulk-generated content that is frequently nonsensical or surreal.
Based on user feedback that a lot of users appreciate content made with AI tools, including computer-generated images to science explainers, and we aim to provide users the option to adjust the amount of that, based on their own likes,” commented a spokesperson.
Scale of AI Content
The platform shared that there are currently 1.3bn videos on its app labeled as artificially created. Overall, more than 100 mn pieces of content are added to the app daily, making clips made by AI a relatively small percentage of its overall inventory.
Customizing Your Feed
Members will be capable of decrease or raise the amount of AI content they see by opening the “manage topic” feature in the platform and choosing “AI-generated content”. Other topics that are already be modified under the filter cover politics, style, aesthetics, and dance.
AI Disclosure Rules
Its guidelines require content makers to label convincing AI-made content, and it bans harmful fake videos of celebrities or crisis events. Any authentic-looking AI-generated clip that is without a tag can be deleted under its terms of service.
Furthermore, the platform will from now on add an artificially created label to content produced via its built-in AI features, or detected by an industry-wide initiative for recognizing artificial media. This step is designed to help prevent users from trying to circumvent the labeling process.
Responsible AI Funding
The company is additionally introducing a two million dollar AI literacy fund for experts and groups to develop educational content about responsible artificial intelligence. This initiative will assist charitable organizations focused on educating coding and technology.
Moderation Strategy
The video-sharing app has justified its content review process, amid controversy over proposals to lay off hundreds of review team members in Britain. TikTok is expected to cut hundreds of positions in its user protection division in the UK capital, with worker representatives and digital protection specialists raising concerns that people are being substituted by AI moderation.
A company official stated that people-led review would continue to be important, but artificial intelligence can safeguard staff by removing the most distressing content before it gets reviewed by staff. The platform reported a 76% decrease in shocking and graphic content reviewed by safety staff over the past year due to reliance on its AI tools.
It is vital to balance people and machines to ensure user safety,” she said. “We’ll have staff as involved in the system, but we also think it’s very important to reduce exposure to harmful content as quickly as possible, which is where a significant AI assistance is proving valuable process content quickly.”
