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
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
They like the tool, but they don’t like the perceived demonization: After Instagram instituted a label on images to clearly identify those that were AI-generated, many photographers stood up in arms, angry that it also included images retouched using AI. “It is not the same,” they say. “Retouching,” they say,Continue Reading
As we progress in our new decade, an invisible crisis is unfolding. In our digital age, where images can be manipulated effortlessly or generated entirely by artificial intelligence, our faith in what we see is crumbling. Since we rely on our senses to make decisions about the world—particularly our senseContinue 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
The Visual Economy: A Double-Edged Sword In the pulsating heart of today’s digital marketplace lies a universal truth: visuals are the currency of communication. A photo, a video, a graphic – these are not mere adornments but the lifeblood of sales and marketing. In the visual economy, the adage “aContinue Reading
Preamble: Photography is the process of creating images by recording light. The word comes from the Greek words photo, meaning “light,” and graphé, meaning “to draw”. Datagraphy is the process of creating images using data, as per with generative AI. It blends “data,” referring to numerical or structured information, with “-graphy,” aContinue Reading
The rise of Generative Artificial Intelligence has been nothing short of revolutionary, impacting every domain from finance to the arts. In the world of photography, GenAI has had a transformative effect, much like the impact photography once had on painting. The Historical Parallel: Photography and Painting When photography emergedContinue Reading