The platform is rolling out a updated setting that permits them to reduce the quantity of artificial intelligence-produced media appearing in their feeds. This move comes as the service disclosed that it now features over 1 bn AI videos.
Trial and Implementation
This change is undergoing trials over the coming weeks before a widespread release. This advancement comes amid a increase in AI-generated material, driven by emerging video-generation tools.
The Broader AI Trend
Studies have shown that nearly a tenth of the fastest-growing channels on a competing service exclusively feature content made by AI. A significant portion of this output is deemed mass-produced AI material, a term for substandard, factory-style content that is often absurd or bizarre.
Based on user feedback that numerous viewers appreciate content created using AI tools, from digital art to educational videos, and we aim to provide users the option to increase or decrease of that, based on their own likes,” commented a company executive.
Scale of AI Content
The platform shared that there are presently 1.3 billion videos on its network identified as artificially created. Collectively, more than 100 m pieces of content are uploaded to the platform daily, making AI content a limited part of its total content library.
User Control Features
Users will be capable of limit or boost the amount of AI-generated videos they see by using the topic control setting in the application and choosing AI-made media. Additional categories that can already be adjusted under the tool encompass current affairs, style, aesthetics, and dance.
AI Disclosure Rules
TikTok’s rules require users to label lifelike AI-made content, and it bans dangerous deepfakes of public figures or critical incidents. Any believable AI video that is without a tag can be removed under its terms of service.
Additionally, the platform will now apply an AI-generated label to content produced via its proprietary AI systems, or detected by an cross-platform project for recognizing AI-generated material. This measure is intended to deter users from attempting to circumvent the tagging system.
Responsible AI Funding
The company is also launching a $2m educational fund for specialists and institutions to create learning resources about using AI responsibly. This project will benefit educational bodies dedicated to teaching coding and technology.
Content Safety Approach
The platform has supported its moderation strategy, following discussion over intentions to make redundant a large number of safety staff in the United Kingdom. It is expected to cut 439 jobs in its content moderation division in its British office, with labor groups and digital protection specialists raising concerns that people are being substituted by machine-led review.
A senior executive stated that people-led review would continue to be important, but artificial intelligence can shield workers by eliminating the most harmful content prior to it gets reviewed by humans. The company announced a significant reduction in disturbing and violent content handled by safety staff over the past year due to intervention by its machine learning processes.
It is vital to integrate staff and AI to keep the platform safe,” she said. “We’ll have staff as integral to the approach, but we further consider it’s extremely critical to reduce exposure to dangerous material as quickly as possible, which is the area in which a lot of the machine support is making a difference process content quickly.”
