Last Updated on February 7, 2024 9:38 am by Laszlo Szabo / NowadAIs | Published on February 7, 2024 by Juhasz “the Mage” Gabor
DALL-E 3 Watermarks AI-Generated Images – But It’s Easy to Remove – Key Notes:
- Integration with C2PA Standards: Aligns DALL-E 3 with industry practices for content authenticity.
- Visibility and Accessibility: Watermarks are both visible and embedded as metadata, accessible across platforms.
- Quality and Latency: The introduction of watermarks does not compromise image quality, with minimal impact on latency.
- Challenges: Watermarks can be removed, highlighting limitations in preventing misinformation.
- Future Potential: Explores extending watermark technology to videos and text, indicating broader applications for content verification.
DALL-E 3 Watermarks Introduced
OpenAI, a leading organization in the AI field, is enhancing the trustworthiness of its image generator, DALL-E 3, by integrating watermarks into its system.
The watermarking system, part of the Content Provenance and Authenticity (C2PA) standards, is a brand-new approach to fortify the credibility of digital information.
OpenAI and C2PA: Watermarks in DALL-E 3
Images generated in ChatGPT and our API now include metadata using C2PA specifications.
This allows anyone (including social platforms and content distributors) to see that an image was generated by our products. https://t.co/kRv3mFnQFI pic.twitter.com/ftHqECS8SB
— OpenAI (@OpenAI) February 6, 2024
C2PA is a coalition of tech giants like Adobe and Microsoft, advocating for the use of content credentials watermark to verify the source of content.
Watermarks will appear in images generated by the DALL-E 3 model on the ChatGPT website and its API.
Mobile users will also have access to the watermarked images. These watermarks will include a visible CR symbol and an invisible metadata component.
The watermarks enable users to check the origin of the images generated by OpenAI’s platforms.
Websites such as Content Credentials Verify offer the facility to validate the provenance of these images.
The Impact: Negligible Effect on Quality and Latency
OpenAI assures that the addition of watermark metadata will not affect the quality of image generation. While it might increase the image sizes slightly, the impact on latency is negligible.
The Challenges: Removal of Metadata
Despite the benefits, adding watermarks is not a foolproof solution to misinformation.
OpenAI warns that the watermark metadata can be easily removed, either accidentally or deliberately, especially as most social media platforms often eliminate metadata from uploaded content.
Taking a screenshot of the image also omits the metadata, proving another limitation of the watermarking system.
Currently, only still images can carry the watermark. However, the potential of this technology extends to videos and text, opening up new avenues for content provenance.
Conclusion
As AI continues to evolve, maintaining the trustworthiness of digital information has become paramount.
OpenAI is not alone in its endeavor to validate AI-generated content. Meta, another tech giant, has also announced its plans to add tags to AI-generated content on its social media platforms Facebook, Instagram and Threads.
OpenAI’s move to add watermarks to its DALL-E 3 images is a step forward in this direction – despite its limitations, it signifies the increasing emphasis on content provenance in the realm of AI-generated content.
Frequently Asked Questions:
- What is the purpose of DALL-E 3 watermark?
- To enhance the trustworthiness of AI-generated images by enabling source verification.
- How does the DALL-E 3 watermark work?
- It embeds a visible CR symbol and invisible metadata within images for origin verification.
- Can DALL-E 3 watermark be removed?
- Yes, metadata can be removed, especially on social platforms that strip metadata.
- Does DALL-E 3 watermark affect image quality?
- No, OpenAI assures no quality compromise, despite slight increases in image size.
- Will DALL-E 3 watermark technology extend to other media?
- Currently for still images, but potential expansions to videos and text are explored.
