The current crop of AI image-authenticity tools tends to do one thing. You upload a photograph, the tool returns a number. 73% likely AI-generated. 0.21 confidence of manipulation. The number is supposed to settle the question. It doesn’t, of course, because the number is a statistical probability that the imageContinue Reading
….. if they understood what they actually have For two decades, photo agencies have been selling pixels. The price of those pixels has been falling for almost as long, and generative AI has now removed the floor entirely. The conversation inside the industry has narrowed to a single question: howContinue Reading
The IPTC Media Provenance Summit held at Reuters in Toronto on April 16 drew 109 attendees from 67 organizations, including the BBC, Adobe, Sony, CBC/Radio-Canada, the European Broadcasting Union, the World Privacy Forum, Activo, Imatag, and PixelStream. What made this edition different from earlier gatherings was its tone. The debatesContinue Reading
Everyone in the visual content industry agrees, at least publicly, that authentic imagery should be worth more than AI-generated slop. Photographers say it. Agencies say it. Publishers say it. I’ve said it myself, many times, in this publication and elsewhere. Provenance matters. Trust matters. Reality matters. And yet, nothingContinue Reading
On March 10, the European Parliament voted overwhelmingly to demand a new licensing framework for AI training. Across the Atlantic, private data brokers are raising tens of millions to license content directly. Both approaches claim to solve the same problem. Neither does. The Axel Voss resolution passed with 460 votesContinue Reading
Eleven years ago, I coined a term. I called them the photo generation. The piece ran on Kaptur in April 2015, prompted by a Facebook study: 53% of US teens said Instagram helped define who they were, 63% used it to document their lives, and a third checked it beforeContinue Reading
The emergence of new tools aims to solve the long-standing issue of unreliable image provenance caused by stripped metadata. Trust in visual content depends on the relationships with creators, rather than just the content itself. Current advancements focus on cryptographic verification and binding, fostering accountability and trust within the digital landscape.Continue Reading
Until now, you have been the author of your own life. Not in the romantic sense — you don’t control everything that happens to you. But you controlled the telling. What you revealed and to whom. What you let recede into memory and what you chose to carry forward. TheContinue Reading
India has implemented a new rule mandating media platforms to label AI-generated content and retain metadata, effective February 20. This regulation reflects a broader trend alongside similar policies in China and the EU, emphasizing the importance of metadata for compliance and authenticity. Platforms must adapt quickly to avoid penalties.Continue Reading
The quest for content authenticity amidst generative AI has led to various solutions, primarily blockchain and centralized platforms. However, these often create access barriers, undermining true distributed trust. Effective trust infrastructure needs universal accessibility, avoiding monetization that limits access. Solutions must resist becoming rent-seeking mechanisms, ensuring long-term and equitable verification systems.Continue Reading