The Internet Architecture Board (IAB), a Committee of the Internet Engineering Task Force (IETF) which decides on standards and protocols that are used to govern the workings of Internet infrastructure, is having a workshop in September on “AI Control”. Discussions will include whether one or more new IETF standards should be defined to govern how AI systems work with Internet content.

As part of the lead-up to this workshop, the IAB and IETF have put out a call for position papers on AI opt-out techniques.

Accordingly, the IPTC Photo Metadata Working Group, in association with partner organisation the PLUS Coalition, submitted a position paper discussing in particular the Data Mining property which was added to the IPTC Photo Metadata Standard last year.

In the paper, the IPTC and PLUS set out their position that data mining opt-out information embedded in the metadata of media files is an essential part of any opt-out solution.

Here is a relevant section of the IPTC submission:

We respectfully suggest that Robots.txt alone is not a viable solution. Robots.txt may allow for communication of rights information applicable to all image assets on a website, or within a web directory, or on specific web pages. However, it is not an efficient method for communicating rights information for individual image files published to a web platform or website; as rights information typically varies from image to image, and as the publication of images to websites is increasingly dynamic.

In addition, the use of robots.txt requires that each user agent must be blocked separately, repeating all exclusions for each AI engine crawler robot. As a result, agents can only be blocked retrospectively — after they have already indexed a site once. This requires that publishers must constantly check their server logs, to search for new user agents crawling their data, and to identify and block bad actors.

In contrast, embedding rights declaration metadata directly into image and video files provides media-specific rights information, protecting images and video resources whether the site/page structure is preserved by crawlers — or the image files are scraped and separated from the original page/site. The owner, distributor, or publisher of an image can embed a coded signal into each image file, allowing downstream systems to read the embedded XMP metadata and to use that information to sort/categorise images and to comply with applicable permissions, prohibitions and constraints.

IPTC, PLUS and XMP metadata standards have been widely adopted and are broadly supported by software developers, as well as in use by major news media, search engines, and publishers for exchanging images in a workflow as part of an “operational best practice.” For example, Google Images currently uses a number of the existing IPTC and PLUS properties to signal ownership, licensor contact info and copyright. For details see https://iptc.org/standards/photo-metadata/quick-guide-to-iptc-photo-metadata-and-google-images/

The paper in PDF format can be downloaded from the IPTC site.

Thanks to David Riecks, Margaret Warren, Michael Steidl from the IPTC Photo Metadata Working Group and to Jeff Sedlik from PLUS for their work on the paper.