As generative AI continues to infiltrate everything from smartphone cameras to image editors, one deceptively simple question remains unresolved and increasingly urgent: How much AI involvement is enough to call something AI-generated? It is not just a technical question or a legalContinue Reading
Six years ago, a group of concerned publishers and a formidable creative software company, well-versed in the manipulation of digital content, joined forces to develop what may be the most important and underestimated standard of this generation. Ironically, this was before the rise of Generative AI. Since then, three summitsContinue Reading
Copyright is a Pillar of Provenance Copyright isn’t just a legal mechanism—it’s also a system of traceability. When a piece of content is protected by copyright: Its origin is clear (who created it, when, and under what rights). Its chain of custody can often be reconstructed (via licenses, credits, metadata,Continue Reading
More and more businesses are waking up to a critical risk: manipulated visual content can inflict lasting damage on brand reputation, customer trust, and ultimately, the bottom line. What was once primarily a concern for news organizations has now become a pressing issue for any company using images and videoContinue Reading
By now, we’ve all heard the stories: generative AI devours copyrighted content for breakfast. And while there’s been a lot of noise, little to nothing has been done about it. Photographers and videographers keep uploading their images online—easy pickings for scrapers—while lawmakers stand frozen, terrified that regulating too hard mightContinue Reading
On January 14, 2014, photographer Narciso Contreras was dismissed by AP for editing a war photo, raising issues of journalistic integrity and trust. Recent advancements like the Content Credentials metadata framework aim to restore authenticity in images, flagging edits and AI involvement. Major tech companies, camera manufacturers, and news agencies are adopting this transparency standard, signaling a paradigm shift in the credibility of visual content.Continue 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