谷歌正在开发一项新技术，用于识别照片是通过相机拍摄、使用Photoshop等软件编辑还是由生成式AI模型生成。未来几个月，谷歌搜索结果将包含一个更新的“关于此图像功能”，让用户了解图像是否使用AI工具创建或编辑。

👨‍💻谷歌正在开发一项新技术，用于识别照片是通过相机拍摄、使用Photoshop等软件编辑还是由生成式AI模型生成。谷歌正在使用的内容来源和真实性联盟 (C2PA) 技术标准来识别图像的来源。

🔍未来几个月，谷歌搜索结果将包含一个更新的“关于此图像功能”，让用户了解图像是否使用AI工具创建或编辑。该功能将使用C2PA技术标准，并与即将推出的C2PA信任列表一起使用，以确认内容的来源。

📸谷歌计划将C2PA元数据整合到其广告系统中，并探索在YouTube上向观众传递C2PA信息的方式。虽然谷歌是首批采用C2PA认证标准的大型科技公司之一，但要使这项技术在各种硬件和软件中广泛使用，仍然存在许多挑战。

🚧目前只有少数来自徕卡和索尼的相机支持C2PA的开放技术标准，该标准将相机设置元数据以及图像拍摄地点的数据和位置添加到照片中。尼康和佳能都承诺采用C2PA标准，但我们仍在等待苹果和谷歌是否会在iPhone和Android设备中实现C2PA支持的消息。

🎨Adobe的Photoshop和Lightroom应用程序可以添加C2PA数据，但Affinity Photo、Gimp等许多应用程序却不能。此外，在将数据添加到照片后如何查看这些数据也是一个挑战，大多数大型在线平台都没有提供标签。谷歌在搜索结果中的采用可能会鼓励其他平台推出类似的标签。

🌐谷歌承认建立和标识内容来源是一个复杂的挑战，需要根据产品或服务进行多种考虑。虽然没有针对所有在线内容的万能解决方案，但与行业其他成员合作对于创建可持续且可互操作的解决方案至关重要。

Google is planning to roll out a technology that will identify whether a photo was taken with a camera, edited by software like Photoshop, or produced by generative AI models. In the coming months, Google’s search results will include an updated “about this image feature” to let people know if an image was created or edited with AI tools.

The system Google is using is part of the Coalition for Content Provenance and Authenticity (C2PA), one of the largest groups trying to address AI-generated imagery. C2PA’s authentication is a technical standard that includes information about where images originate and works across both hardware and software to create a digital trail. Amazon, Microsoft, Adobe, Arm, OpenAI, Intel, Truepic, and Google have all backed C2PA authentication, but adoption has been slow. Google’s integration into search results will be a first big test for the initiative.

Google has helped develop the latest C2PA technical standard (version 2.1) and will use it alongside a forthcoming C2PA trust list, which allows platforms like Google Search to confirm the origin of content. “For example, if the data shows an image was taken by a specific camera model, the trust list helps validate that this piece of information is accurate,” says Laurie Richardson, vice president of trust and safety at Google.

Google also plans to integrate C2PA metadata into its ad systems. “Our goal is to ramp this up over time and use C2PA signals to inform how we enforce key policies,” says Richardson. “We’re also exploring ways to relay C2PA information to viewers on YouTube when content is captured with a camera, and we’ll have more updates on that later in the year.”

While Google stands out as one of the first big tech companies to adopt C2PA’s authentication standard, there are plenty of adoption and interoperability challenges ahead to get this working across a broad variety of hardware and software. Only a handful of cameras from Leica and Sony support the C2PA’s open technical standard, which adds camera settings metadata as well as the data and location of where an image was taken to photographs. Nikon and Canon have both pledged to adopt the C2PA standard, and we’re still waiting to hear whether Apple and Google will implement C2PA support into iPhones and Android devices.

Adobe’s Photoshop and Lightroom apps can add C2PA data, but Affinity Photo, Gimp, and many others don’t. There are also challenges around how to view the data once it’s added to a photo, with most big online platforms not offering labels. Google’s adoption in search results may encourage others to roll out similar labels, though.

“Establishing and signaling content provenance remains a complex challenge, with a range of considerations based on the product or service,” admits Richardson. “And while we know there’s no silver bullet solution for all content online, working with others in the industry is critical to create sustainable and interoperable solutions.”