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As we continue to bring AI to more products and services to help fuel creativity and productivity, we are focused on helping people better understand how a particular piece of content was created and modified over time. We believe it\u2019s crucial that people have access to this information and we are investing heavily in tools and innovative solutions, like SynthID, to provide it.<\/p>\n
We also know that partnering with others in the industry is essential to increase overall transparency online as content travels between platforms. That\u2019s why, earlier this year, we joined the Coalition for Content Provenance and Authenticity (C2PA) as a steering committee member.<\/p>\n
Today, we\u2019re sharing updates on how we\u2019re helping to develop the latest C2PA provenance technology and bring it to our products.<\/p>\n
Provenance technology can help explain whether a photo was taken with a camera, edited by software or produced by generative AI. This kind of information helps our users make more informed decisions about the content they\u2019re engaging with \u2014 including photos, videos and audio \u2014 and builds media literacy and trust.<\/p>\n
In joining the C2PA as a steering committee member, we\u2019ve worked alongside the other members to develop and advance the technology used to attach provenance information to content. Through the first half of this year, Google collaborated on the newest version (2.1) of the technical standard, Content Credentials. This version is more secure against a wider range of tampering attacks due to stricter technical requirements for validating the history of the content\u2019s provenance. Strengthening the protections against these types of attacks helps to ensure the data attached is not altered or misleading.<\/p>\n
Over the coming months, we\u2019ll bring this latest version of Content Credentials to a few of our key products:<\/p>\n
We\u2019re also exploring ways to relay C2PA information to viewers on YouTube when content is captured with a camera, and we\u2019ll have more updates on that later in the year.<\/p>\n
We will ensure that our implementations validate content against the forthcoming C2PA Trust list, which allows platforms to confirm the content\u2019s origin. 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.<\/p>\n
These are just a few of the ways we\u2019re thinking about implementing content provenance technology today, and we\u2019ll continue to bring it to more products over time.<\/p>\n
Establishing and signaling content provenance remains a complex challenge, with a range of considerations based on the product or service. And while we know there\u2019s no silver bullet solution for all content online, working with others in the industry is critical to create sustainable and interoperable solutions. That\u2019s why we\u2019re also encouraging more services and hardware providers to consider adopting the C2PA\u2019s Content Credentials.<\/p>\n
Our work with the C2PA directly complements our broader approach to transparency and the responsible development of AI. For example, we\u2019re continuing to bring SynthID \u2014 embedded watermarking created by Google DeepMind \u2014 to additional gen AI tools for content creation and more forms of media including text, audio, visual and video. We\u2019ve also joined several other coalitions and groups focused on AI safety and research and introduced a Secure AI Framework (SAIF) and coalition. Additionally, we continue to make progress on the voluntary commitments we made at the White House last year.<\/p>\n<\/div>\n