TikTok to Automatically Label AI-Generated Material

Last week, TikTok announced that it would start automatically labeling any content that was generated with the help of artificial intelligence. The company explained that it was taking this step in order to provide users of the platform an ability to distinguish between factual and fictional content.

Adam Presser, the social media platform head of operations, safety and trust, stated that TikTok users have shown excitement about the role that AI can play in supporting their creative endeavors and the way they connect with their audiences. He said this had prompted the platform to implement the AI labels so that people can still use AI while at the same time consumers of that content can tell how it was created.

TikTok boasted that it was the first social media platform focused on video-sharing to deploy content credentials mechanisms/technology. This is a standard that gives creators, publishers and users with the ability to trace where different media originated.

Dana Rao, chief trust officer at Adobe, likens content credentials to the nutritional labels on food items one buys at a grocery or convenience store. The label points out where an image was taken, who took that image and what changes it was subjected to after it was taken. As a result, a consumer can be certain about the authenticity of the content and the extent to which it can be relied upon.

It should be noted that Adobe was one of the entities that formed the Coalition for Content Provenance & Authenticity. This coalition is advocating for the broader uptake of this novel digital standard.

The effort is paying off, with more entities implementing content credentials. For example, OpenAI revealed that this technology would be available for all images generated or edited by its latest image-generation model, DALL.E3. It added that the technology would also be integrated into Sora, the company’s AI model, which generates videos. The addition to Sora would happen once the model is rolled out broadly.

With elections are soon to be held in many parts of the world, including the U.S. presidential elections this November, concerns have been growing about the adverse effects that AI content can have on the outcomes of polls. Rao says “nutrition labels” for content may not address all those concerns, but they are a pivotal step in the right direction. He predicts that sometime in the future, content having nutritional labels could command more attention than content without such a label since the label will affirm the extent to which given content is authentic or not.

As enterprises such as D-Wave Quantum Inc. (NYSE: QBTS) ramp up the production of the hardware needed in quantum computing and AI, we are set to see AI integration in most aspects of life. it will become more critical to be able to tell what content is or isn’t generated by AI.

NOTE TO INVESTORS: The latest news and updates relating to D-Wave Quantum Inc. (NYSE: QBTS) are available in the company’s newsroom at https://ibn.fm/QBTS

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