The UK’s Competition and Markets Authority escalated its investigation of the Getty Images-Shutterstock merger to Phase 2 on November 3, 2025, citing concerns about “substantial lessening of competition” and potential for “higher prices” and “lower quality” content for news publishers. Three weeks later, Getty CEO Craig Peters told the FinancialContinue Reading
The End of Visual Evidence It’s a few years from now. A photo surfaces of something that matters: a protest, an accident, a natural disaster. You watch it. You feel something. You assume it’s fake. You scroll past. The photograph might be real. Someone might have captured a genuine momentContinue Reading
What if every photograph that could ever be taken already exists? Not in the sense that someone has already captured them, but in the sense that they are all possible, waiting to be revealed. How AI Generates Images: Deconstructing and Reassembling Reality Generative AI doesn’t “copy” images from its trainingContinue Reading
In today’s hyper-connected world, we’re facing an unprecedented deluge of digital content. From photos and videos to articles, books, and music, the sheer volume of available material is staggering. But what happens when there’s simply too much content? The Content Explosion: By the Numbers To truly grasp the scale ofContinue Reading
Major tech companies like Google, Meta, and OpenAI are labeling AI-generated images as “AI-generated” to distinguish them from authentic photos. These labels support the C2PA standard which is gaining industry support, emphasizing transparency for consumers and protection against deceptive imagery. An upcoming panel will discuss the effectiveness and future of these labeling practices, although the system isn’t foolproof due to the potential to manipulate image metadata. The industry is also exploring AI detection tools as another method to identify AI-generated content.Continue Reading
Deepfake technology struggles with the uncanny valley not just in visuals but in narrative believability. Effective deepfakes are subtle, avoiding suspicion by mimicking mundane reality. The major challenge for deepfakes, as illustrated by elections and AI-generated images, lies in crafting convincing stories, not just in visual realism. Education helps people discern truth, highlighting the need for vigilance in the face of potential misuse of digital manipulation.Continue Reading
Generative AI has revolutionized content creation, allowing businesses to produce high-quality, personalized content at scale. However, with this technology comes a significant challenge – the trust issue. One of the main concerns with generative AI is that it may produce false or misleading content, which can harm the credibility ofContinue Reading
There are three types of fake photos and yet, no real net to catch them. For an industry built on illusion, it is not such a surprise.Continue Reading
Just this past week, the European Parliament’s Committee on Legal Affairs approved amendments to EU’s Directive on Copyright in the Digital Single Market. Among which is included the infamous Article 13 which ” creates an obligation on information society service providers storing and giving access to large amounts of works and other subject-matter uploadedContinue Reading
Guest post by: Thierry Secretan, photographer, journalist, filmmaker. Only 3% of the photographs published on the web still have their metadata — The remaining 97% are stripped of all metadata. Why? How? By whom? What are the solutions? In a time where we are confronting a surge of fake news, these questionsContinue Reading