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Project Provenance

Empowering everyone to understand digital content provenance through human-centric design

“Generative AI is blurring the boundary between authentic and synthetic media. Without accessible, human-centered provenance tools, we risk drifting into a post-epistemic world where fact and fiction cannot be reliably distinguished.”

Eric Horvitz, Microsoft Chief Scientific Officer

Advances in generative AI are accelerating the creation of highly realistic synthetic content, blurring the boundary between what is real and what is fabricated. As this content spreads across the web and into everyday discourse, the ability to understand where information comes from—and how it has been altered—has never been more important.

Project Provenance focuses on a critical, underexplored challenge: how people understand and use signals about the origin and history of digital content. We place end-user understanding at the center, exploring through human-centered design and empirical study how provenance information can be made more accessible, meaningful, and actionable in real-world settings.

Microsoft has been a leader in developing provenance technologies and in co-founding the Coalition for Content Provenance and Authenticity (opens in new tab) (C2PA), a cross-industry effort to establish global standards for content authenticity. Yet even as technical approaches, such as cryptographic provenance and watermarking, advance, their impact depends on how effectively people can interpret and act on these signals.

By bridging technical innovation with human experience, Project Provenance aims to strengthen trust in digital media and empower people to better assess the content they encounter every day.

The project is centered at Microsoft Research Cambridge, with collaborators across the Office of the Chief Scientific Officer, Microsoft Research in Redmond, and other teams at Microsoft.

Illustrative image of an eye in a magnifying glass with a red triangle exclamation point icon on a blue blob

A new study explores how AI shapes what you can trust online

A Microsoft report outlines how combining provenance, watermarking, and digital fingerprinting can strengthen trust in digital media as AI-generated content becomes harder to verify.

Emblems for Crafted and Co-Created Content

As generative AI becomes part of everyday creation, people may wish to express how their writing, crafts, and work came into being. Some will want to affirm that their words, art, and ideas were shaped entirely through human effort, from first spark to polish to final finish. Others may choose to acknowledge the role of AI as a collaborator in their creative process.

We’ve created two emblems to support this transparency. Each provides a simple, visually distinctive way to signal how a piece of content was crafted, whether fully human-authored or developed through human–AI collaboration. These were hand sketched and fully human crafted.

100% human crafted and co-created with AI icons. Click button to download and use.

人员

Neeltje Berger的肖像

Neeltje Berger

Senior Designer

Jingya Chen的肖像

Jingya Chen

UX Designer

Microsoft

Pratik Ghosh的肖像

Pratik Ghosh

Senior Research Designer

Eric Horvitz的肖像

Eric Horvitz

Chief Scientific Officer

Andrew Jenks的肖像

Andrew Jenks

Principal Lead Program Manager

Viktor Kewenig的肖像

Viktor Kewenig

Cognitive Science Researcher

Clare Morgan的肖像

Clare Morgan

Senior Business Program Manager, MSR Cambridge

Abigail Sellen的肖像

Abigail Sellen

VP/Distinguished Scientist

Jessica Young的肖像

Jessica Young

Director, Science & Technology Policy