Blog

4,000 members — a major milestone in the effort to foster online transparency and trust

4,000 members — a major milestone in the effort to foster online transparency and trust

November 2024 | This Month in Generative AI: California Legislatures Have Been Busy

In-depth analysis on a range of regulations including AI bills in California that may help set the stage for a unified federal response to AI technology opportunities and risks.

How the Click camera app brings Content Credentials to phones

Learn how anyone can use the Click app to authenticate and establish provenance of their mobile images and video with Content Credentials.

Event Recap | UX Best Practices for Expressing Provenance

Recently, we hosted our first-ever UX Working Session for designers and implementers to share knowledge and best practices. Here are the highlights.

September 2024 | This Month in Generative AI: Taylor Swift's AI Fears are Not Unfounded

Generative AI has made its way into the world of politics. This month, Hany Farid writes about the AI-generated images that were used to falsify Taylor Swift's endorsement of Donald Trump.

October 2024 | CAI Community Events

See upcoming members-only events including a conversation on ecosystem news and how to advocate for Content Credentials.

August 2024 | This Month in Generative AI: Forensics Weaponized

As tools for detecting AI-generated content become more widespread, they can in some cases do more harm than good. This month, Hany Farid explores how bad actors can abuse forensic techniques.

A new era of CAI community: workshops and events for our members

Introducing a new community hub for CAI members and a preview to September events.

How Wrapt’s end-to-end platform protects creative workflows with Content Credentials

Learn how Wrapt's Content Credentials implementation integrates with leading creative tools and devices to establish and maintain provenance.

July 2024 | This Month in Generative AI: Moving Through the Uncanny Valley (Pt. 2 of 2)

This month, Hany Farid explores AI-generated voices and where they are in their journey from the creepy, robot-like voices of a few years ago to today’s more realistic outputs.

Welcoming Nikkei to the CAI

By joining the CAI, Nikkei Inc. will continue to enhance the transparency of the photos and videos it publishes and pursue news coverage that is trusted by readers.

June 2024 | This Month in Generative AI: Moving Through the Uncanny Valley (Pt. 1 of 2)

AI or not? Examining our ability to distinguish between real and AI-generated images. Learn how perceptual studies in AI imagery, voice, and video are progressing.

The three pillars of provenance that make up durable Content Credentials

The triad of technologies that make for permanent Content Credentials and that has the potential to unlock value in the creative economy.

May 2024 | This Month in Generative AI: Embracing Technology and the Continued Rise of Fake Imagery

Embracing technology and the increasing importance of verifying the source of content online.

Welcoming Fujifilm to the CAI

Fujifilm will integrate Content Credentials to its GFX and X series line-up of cameras including the GFX100S II.

A step closer to social media consumers: TikTok joins the CAI and C2PA

TikTok joins industry efforts to advance trust and transparency online with Content Credentials.

April 2024 | This Month in Generative AI: Deepfakes, Real Consequences

Exploring the consequences of political AI-generated content, that although proven to be a deepfake during viral moments, continue to reinforce existing public opinion.

Durable Content Credentials

Ensuring reliable provenance information is available no matter where a piece of content goes by combining secure metadata, watermarking, and fingerprinting.

March 2024 | This Month in Generative AI: Text-to-Movie

An update on recent breakthroughs in a category of techniques that generate images, audio, and video from a simple text prompt.

February 2024 | This Month in Generative AI: Election Season

From AI resurrected dictators to AI powered interactive chatbots, political campaigns around the world are deploying the technology to expand their audience and win over voters. This month, Hany Farid, UC Berkeley Professor, CAI Advisor, looks at examples of increasingly easier to combine fake audio with video, its clear effect on the electorate, and existing solutions to authenticating digital media.

January 2024 | This Month in Generative AI: Frauds and Scams

A monthly take on news and trends shaping our understanding of generative AI technology and its applications.

How a voice cloning marketplace is using Content Credentials to fight misuse

It has become easier for people to create and deploy deepfakes at scale. Learn how Respeecher has embraced transparency in AI by integrating Content Credentials into their audio marketplace.

CAI Symposium 2023: momentum for a trustworthy and transparent digital ecosystem

Read our takeaways and see highlights from this year's CAI Symposium co-hosted with Stanford Data Science.

Community showcase: building trust and transparency into our digital ecosystem

Trust in digital media is consequential — from the practical verification of the source of a news photograph to the less visible web infrastructure that impacts society and economies of scale. In this Community Showcase, we focus on solutions that build transparency into our digital ecosystem.

Leica Launches World’s First Camera with Content Credentials

Industry-leading camera manufacturer Leica launches the new M11-P camera — the world’s first camera with Content Credentials built-in. This is a significant milestone for the CAI and the future of photojournalism.

Passive versus active photo forensics in the age of AI and social media

There is a long history of marking content to prove authenticity, indicate ownership, and protect against counterfeiting," Hany Farid writes in his final piece in a series exploring passive and active techniques to distinguish real and synthetic images. He dives into watermarking and provenance technology as scalable and interoperable technology that restore transparency online and empower us to verify then trust.

Photo forensics from lighting shadows and reflections

Where there is light, there are shadows. The relationship between an object, its shadow, and the illuminating light source(s) is geometrically simple, and yet it’s deceptively difficult to get just right in a manipulated or synthesized image.

Photo forensics from lighting environments

In his latest piece, digital forensics expert and CAI advisor Hany Farid investigates how lighting environments can help distinguish real images from AI-generated ones. He dives into techniques used in computer-generated imagery (CGI) technology we've grown accustomed to through entertainment and gaming and today's AI systems producing photorealistic images.

Photo forensics for AI-generated faces

Is your new social media connection a real person or AI-generated? In the latest installment of Hany Farid's series, he describes a technique for detecting GAN-generated faces, such as those typically found in online profiles.

How realistic are AI-generated faces?

In the latest installment of this CAI series, Hany Farid unpacks what was once the most common computational technique for synthesizing images. Learn about telltale clues and new fast-improving technology making it more difficult to distinguish real faces from those synthetically made.

From the darkroom to generative AI

In this era of generative AI, how do we determine whether an image is human-created or machine-made? Read the first part in a series exploring techniques used for identifying synthetic media and how we regain trust in the visual record.

How We See x Obidi Nzeribe — Content Authenticity Initiative

An interview with fashion photographer, Obidi Nzeribe, on creating with Content Credentials and nurturing trust with your audience.

Community showcase: creating an ecosystem for content transparency

See how Respeecher, SmartFrame, and the Guardian Project are building trust signals and Content Credentials into their services and products.

Community event: authentic storytelling for the era of generative AI

How transparency tools and context meets the challenges and opportunities in generative technologies.

Reaching Major Milestones with 1,000-Members, Content Credentials in Adobe Firefly and Much More

This past month, the CAI achieved three major milestones representing the fast pace of progress toward our critical goal of making content more transparent and trustworthy, everywhere.

Community event: get started with digital provenance tools

Developer demos and tips on how to get started with the CAI's free open-source tools, activating an open industry standard for content authenticity and provenance.

The CAI welcomes Canon!

Welcoming Canon as the newest member of the Content Authenticity Initiative.

A conversation with the Trusted Web podcast

How do we create a more trustworthy web? We joined the Trusted Web podcast to discuss digital content provenance as a solution for restoring trust and enabling authentic storytelling and verifiable media online.

The CAI’s 2022 Year in Review

How Pixelstream created a turnkey solution for including Content Credentials with digital assets from capture, edit, publish to display.

How Pixelstream created a turnkey solution for including Content Credentials with digital assets from capture, edit, publish to display.

Adobe MAX 2022: Launching provenance-powered cameras with Leica and Nikon, updates to Content Credentials in Photoshop, and open-source developments

Reflecting on milestones and the work ahead. CAI reaches cameras for authentic visual storytelling.

Implementing Adobe’s CAI Open-Source Tools for Digital Content Provenance: Workshop Recap

Launching a new era of community implementation with an open-source suite of tools.

Welcoming Reuters to the Content Authenticity Initiative

The world’s leading provider of trusted news, insight, and analysis joins CAI as a member.

CAI Releases Suite of Open-Source Tools to Advance Digital Content Provenance

Announcing our suite of open-source tools for digital content provenance.

The Wall Street Journal Joins the Content Authenticity Initiative

Welcoming WSJ to the CAI.

FUNKE Mediengruppe Joins the Content Authenticity Initiative

The Associated Press Joins the Content Authenticity Initiative

Sourcing truth in conflict

CAI presents to All-Party Parliamentary Media Group (APPG) in the UK

Representatives from the CAI and C2PA presented on digital provenance technology.

Milestones in digital content provenance: v.1.0 specification and open-source projects

As the 1.0 specification is released, the CAI continues to build community around digital content provenance work through easy-to-implement open-source projects.

2021 update from CAI: full of milestones and just getting started

From prototypes to events to product launches, here’s what we accomplished this year.

The New Trust Model in Photojournalism with the VII Agency: A Panel Event

A look at the VII photo agency’s secure capture prototype and discussion on provenance within photojournalism in general.

Introducing a new look for CAI

Our new logo is a visual representation of our mission to fight misinformation through digital content provenance.

A New Chapter for Content Authenticity: Photoshop at Adobe MAX 2021

Today the first full product implementation of content authenticity launches in Adobe Photoshop and a suite of complimentary products.

Exploring the Open Standard for Content Provenance: The C2PA Draft Specification and the Path to Adoption

Looking at implementation and the specifics of the standard with representatives from the C2PA, CAI, and Project Origin at our most recent member event.

Welcoming Agence France-Presse (AFP) to the CAI

The esteemed AFP global news agency has joined the Content Authenticity Initiative, along with their main camera provider, Nikon.

Nikon Joins the CAI

Welcoming the venerable camera manufacturer Nikon to the Content Authenticity Initiative.

Announcing the C2PA Draft Specification

The draft specification is now open for public review and feedback, a major milestone in the work towards ubiquity of digital provenance across devices, software, and the entire creator and publishing ecosystems.

Content Authenticity Initiative Presents: Video Provenance and the Ethics of Deepfakes

A recap of our June members’ event.

The Washington Post joins as a member of the CAI

The noted journalism powerhouse joins the CAI community, now with more than 250 members.

Twitter joins the C2PA steering committee, furthering their commitment to scale trust in online content

Twitter adds their strong technical expertise to the growing alliance of companies as the first social media platform to participate in our open standards specification work in progress.

New York Times R&D Team Launches a Pragmatic Use Case for CAI Technology in Journalism

The more people are able to understand the true origin of their media, the less room there is for ‘fake news’ and other deceitful information. Allowing everyone to provide and access media origins will protect against manipulated, deceptive, or out-of-context online media.

The Future of Trust in Photojournalism: CAI Members’ Event Recap

A look at our spring event, featuring Lucy Nicholson of Reuters and Jonathan Dotan of Stanford University and the Starling Project, hosted by Santiago Lyon and Andy Parsons.

NFTs & Provenance: How CAI protects creators and collectors alike

Imagine strolling through downtown Manhattan in New York City and happening upon an art gallery. You walk inside and immediately see a piece that catches your eye. Could this really, truly be a Rothko?

CAI’s Andy Parsons on Episode 51 of Infotagion with Damian Collins MP

British podcast Infotagion dives into disinformation, media literacy, and how the CAI is part of the solution.

CAI Member Serelay Launches First Publicly Available Software Apps with CAI Technology Enabled

UK-based Serelay apps join the CAI constellation of end-to-end, interoperable implementations.

Adobe co-founds the Coalition for Content Provenance and Authenticity (C2PA) standards organization

Along with Microsoft, Truepic, Arm, Intel and the BBC, Adobe has founded the Coalition for Content Provenance and Authenticity (C2PA) as the organization for open specification development of content provenance standards.

CAI spotlight: ‘78 Days,’ a verified photo archive from Starling and Reuters

A new photojournalism project created with cryptographic methods and decentralized protocols for secure capture, storage, and verification of images uses CAI specifications and tools.

Welcoming Santiago Lyon

The venerable photojournalist and industry executive joins the CAI team as Head of Advocacy and Education.

Restoring Trust in the Age of (Dis)Information: The CAI Year in Review 2020

During our final event of the year, we announced a 2020 capstone achievement: the first-ever photos captured with the end-to-end system for image provenance developed with CAI standards.

Secure Mode Enabled

A photojournalist previews a new end-to-end system for image provenance through the Content Authenticity Initiative.

Leaders discuss how industry and government are working to combat deepfakes and inauthentic content

Adobe participated in a virtual event hosted by principal trade association for the software and digital content industry, the Software & Information Industry Association.

The Content Authenticity Initiative unveils content attribution tool within Photoshop and Behance

Adobe believes in the power of creativity — for all — to make our world a more beautiful, interesting place. We also believe that creativity is even more powerful when combined with transparency and trust.

CAI Achieves Milestone: White Paper Sets the Standard for Content Attribution

Today marks a significant milestone for the Content Authenticity Initiative as we publish our white paper, “Setting the Standard for Content Attribution”.

Congressional leaders, industry and media experts discuss actions to combat inauthentic content

Adobe and The New York Times participated in a virtual event hosted by global research organization software.org.

Adobe Reinforces Commitment to Content Authenticity

When you see a photo or video on social media, on the evening news, or through something your friend shared, how do you know you can trust it? How can you be sure the content hasn’t been tampered with to sway your thinking?

CAI represented in the EU40 discussion

Adobe participates at the EU40 discussion “The Era of Misinformation” about the CAI approach. Kate Brightwell discusses the long-term benefits of an attribution-based system at an event to address the dangers of misinformation, particularly during the COVID19 pandemic.

CAI at Social Media Week: Paving the Way Toward Trusting Media Again

CAI collaborators Andy Parsons (Adobe), Sam Gregory (Witness) and Jeff McGregor (Truepic) speak at Social Media Week on content provenance, the challenges of restoring trust and how new technologies will form the foundation for transparency in media.

CAI white paper collaborators come together for the first working meeting

CAI gathered for the first meeting towards the publication of a white paper outlining our approach to content attribution. Collaborators included representatives from social media, software, media, academia and non-profit industries as we addressed solutions for the entire landscape of digital media.

The Content Authenticity Initiative Summit: Collaborating to Drive Trust and Transparency Online

As new technologies enable the creation of digital media, we are seeing a proliferation of altered content online, including those created to intentionally mislead and deceive. In the face of this growing issue, a critical question has emerged: how can we empower consumers to better recognize and evaluate digital content that has been altered?

Welcome Andy Parsons

A warm welcome to Andy Parsons — Adobe's new Director of the Content Authenticity Initiative.

Introducing the Content Authenticity Initiative

Today, at Adobe MAX 2019, in collaboration with The New York Times Company and Twitter, we announced the Content Authenticity Initiative (CAI) to develop an industry standard for digital content attribution.