## Key takeaways

## Techniques combine

Content Credentials and watermarking methods harmonize to form a resilient approach to transparently disclosing computer-generated images.

## Workflow fit

Integrating signing with C2PA into your server-side workflow, particularly right after image generation, is a seamless process. If you’re curious about the ease of implementation, feel free to reach out.

## Labeling open-source AI

Labeling content from open-source models as AI-generated fosters a culture of transparency and accountability in communal software development.

## Informing the design of content authenticity solutions

“We’re seeing broad support for watermarking AI-generated content from US and EU government leaders and private industry. We are excited to be partnered with Truepic and Hugging Face to deliver the first publicly usable forensic watermarking solution in a package that truly raises the bar for responsible AI.”  
Dr. Eric Wengrowski  
Co-Founder & CEO

“As generative AI is seeing growing adoption and helping create images that are becoming more difficult to distinguish from their training data, helping users better manage and annotate these new types of media will be essential to fostering more responsible and reliable development of the technology.”  
Yacine Jernite  
Machine Learning & Society Lead

## Transparency in AI

What happens if real is actually fake? Truepic and acclaimed production studio, Revel.ai, have partnered to produce the world’s first authenticated deepfake video using transparent engineering.

## MIT Media Lab

Enabling ethical AI research through provenance disclosure: Truepic worked with researchers from the Affective Computing group at MIT Media Lab to add secure, cryptographic provenance to over 30 deepfake videos.