As the availability of AI grows, content platforms now have to decide how to deal with the potential problems that AI can create .
TikTok is looking to step up its AI transparency efforts, a new report suggests. This will happen by automatically labeling all AI-generated content. Or at least content that he knows about.
content”>Automatically detect AI-generated content
Starting today and rolling out to all users worldwide in the coming weeks, TikTok will automatically assign labels to AI-generated content created with using tools such as DALL·E 3 from OpenAI.
This is possible thanks to key technology supported by companies like OpenAI.
TechCrunch's Aisha Malik explains:
The social video platform does this by implementing Content Credentials, a technology from the Content Coalition. Provenance and Authenticity (C2PA), founded by Microsoft and Adobe. Content credentials attach specific metadata to content, which TikTok can then use to instantly recognize and label AI-generated content.
Content credentials are not a reliable method of identifying AI. Platforms that don't attach the metadata that TikTok will look for can continue to upload and share it on TikTok without anyone knowing its origin. TikTok will still ask users to self-identify whether content is AI-generated, but this is entirely voluntary.
However, the reason this move should still prove largely effective is because Content credentials are a widely supported standard by major technology players in the field of artificial intelligence. In addition to OpenAI, Meta, and C2PA co-founders Microsoft and Adobe, Google is also involved in supporting Content Credentials. This broad level of support should cover the vast majority of AI-powered TikTok sites.
9to5Mac's Opinion
In an age of misinformation, deepfakes, and general confusion surrounding content created by humans and artificial intelligence, this is a good step.
TikTok, while it still exists, has significant power to shape policies and best practices for , how the platform can drive the artificial intelligence revolution. Of course, there is still a lot of work ahead, but this is a serious step.
