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On Fri, 27 Sept, 4:03 PM UTC
2 Sources
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China has big plans for AI content labeling.
A new regulation drafted this month aims to legally enforce a similar system to voluntary global initiatives like C2PA Authentication. If enacted, AI providers in China must add explicit labels and metadata encryption to AI content, or face government penalties. Social media companies will also need to scan for these watermarks to label content on their platforms, and add more information to help track its journey online.
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China's Plan to Make AI Watermarks Happen
Audio morse codes, encrypted metadata information, or labels in virtual-reality-generated scenes. These are some of the things the Chinese government wants AI companies and social media platforms to use to properly label AI-generated content and crack down against misinformation. On September 14, China's Cyberspace Administration drafted a new regulation that aims to inform people of whether something is real or AI. As generative AI tools get increasingly advanced, the difficulty to discern whether content is AI-generated is causing all kinds of serious issues, from nonconsensual porn to political disinformation. China's is not the first regime to tackle this issue -- the European Union's AI Act, adopted this March, also requires similar labels; California passed a similar bill this month. And China's previous AI regulations also briefly mentioned the need for gen-AI labels. However, this new policy outlines more details of how AI watermarks should be implemented by platforms. For the first time, it also promised to punish social media platforms where AI-generated content is posted and travels far without being properly classified. As a result, there are a lot more financial and legal stakes for AI companies and social platforms if they are tempted to take the shortcut and not instate proper labeling features. With the speed and proactiveness of its AI legislation, China is hoping to be the domineering regime shaping global AI regulation. "China is definitely ahead of both the EU and the United States in content moderation of AI, partly driven by the government's demand to ensure political alignment in chatbot services," says Angela Zhang, a law professor at the University of Southern California studying Chinese tech regulations. And now it has another chance at shaping global industry standards, because "labeling is a promising area for global consensus on a certain technical standard," she says. For the first part, the new draft regulation asks AI service providers to add explicit labels to AI content. This means watermarks on images, "conspicuous notification labels" when an AI-generated video or virtual reality scene starts, or sounds of the morse code of "AI" (· - · ·) before or after an AI-generated audio clip. These are, to different degrees, practices that the industry is already employing. But the legislation would change them from voluntary measures into legal liabilities and would force those AI tools with loose labeling mechanisms to catch up or face government penalties. But the problem with explicit labels is that they are usually easy to alter, like cropping out a watermark or editing out the video ending. So the legislation also requires companies to add implicit labels into the metadata of AI-generated content files, which should include a specific mention of the initialism "AIGC" as well as encrypted information about the companies that produced and spread this file. It also recommends these companies add invisible watermarks in content so users won't realize they are there. In reality, the implementation of implicit labels in metadata would require a lot more companies to work together and adhere to common rules.
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China unveils plans for mandatory AI content labeling, aiming to regulate the rapidly growing AI industry while promoting innovation. The move sparks discussions on global AI governance and potential impacts on creators and consumers.
In a groundbreaking development, China has announced plans to implement mandatory labeling for AI-generated content, positioning itself at the forefront of AI governance. This initiative, set to take effect by January 2024, aims to address the challenges posed by the rapid proliferation of artificial intelligence in content creation 1.
The proposed labeling system is comprehensive, covering a wide range of AI-generated content including text, images, audio, and video. This broad approach reflects China's commitment to creating a transparent ecosystem for AI-produced media. The labels will serve as digital watermarks, allowing users to easily identify content created by AI algorithms 2.
China's approach to AI regulation seeks to strike a delicate balance between fostering innovation and implementing necessary safeguards. By mandating content labeling, the government aims to create a more trustworthy online environment while still encouraging advancements in AI technology. This strategy aligns with China's broader goals of becoming a global leader in AI development 1.
The announcement has sparked discussions in the international community about the future of AI governance. While some experts praise China's proactive stance, others express concerns about potential limitations on creativity and free expression. The global tech industry is closely watching how this policy unfolds, as it could set precedents for AI regulation worldwide 2.
Implementing such a comprehensive labeling system presents significant technical and logistical challenges. Questions arise about the feasibility of accurately detecting all AI-generated content, especially as AI technologies continue to evolve rapidly. Critics argue that determined users might find ways to circumvent the labeling requirements, potentially undermining the system's effectiveness 1.
The new regulations are expected to have far-reaching effects on both content creators and consumers. For creators, the labeling requirement may necessitate changes in their workflows and potentially impact how their work is perceived. Consumers, on the other hand, will gain more transparency about the content they encounter online, potentially influencing their trust in and engagement with digital media 2.
As China moves forward with its AI labeling initiative, the world watches with keen interest. The success or failure of this program could significantly influence global approaches to AI governance. It remains to be seen how this bold move will shape the future landscape of digital content creation and consumption, both within China and on the international stage 12.
Reference
[1]
China's Cyberspace Administration has drafted new regulations requiring clear identification of AI-generated content across online platforms. The move aims to combat misinformation and regulate the rapidly growing AI industry.
3 Sources
3 Sources
OpenAI, the creator of ChatGPT, has expressed support for a California bill that would require companies to watermark AI-generated content. This move aims to increase transparency and combat misinformation in the rapidly evolving field of artificial intelligence.
12 Sources
12 Sources
Google announces plans to label AI-generated images in search results, aiming to enhance transparency and help users distinguish between human-created and AI-generated content.
2 Sources
2 Sources
China is testing AI models to ensure they align with Communist Party ideology. The government has deployed teams to interrogate chatbots and evaluate their adherence to "core socialist values."
6 Sources
6 Sources
A new bill introduced in the US Senate seeks to make it illegal to remove or alter AI-generated content watermarks. The legislation aims to combat the spread of AI-generated disinformation and protect content creators.
2 Sources
2 Sources
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