Graphic design is transforming thanks to new innovations in Artificial Intelligence (AI) by providing tools that enhance both creativity and productivity. Yet, as AI becomes a more integral part of the design process, it introduces significant ethical concerns that must be addressed. How Bias Surfaces in AI-Generated Content TrainedContinue Reading
Artificial intelligence is transforming graphic design at an unprecedented pace. Designers are embracing its capabilities, but critical questions remain: Can machines truly enhance creativity without eroding the human touch? As AI reshapes workflows and sparks new possibilities, the balance between technological innovation and the preservation of originality has never beenContinue Reading
In photography, there are two primary types of biases: the subjects we choose to capture and the images we ultimately decide to share. These two biases, while often intertwined, come from different motivations. The first—the choice of subject—is driven by a sense of ownership, the feeling that this moment, scene,Continue 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
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
In recent years, the buzz surrounding Artificial Intelligence (AI) has reached a fever pitch in nearly every industry, and Digital Asset Management (DAM) is no exception. Vendors and consultants alike have rushed to position themselves as AI experts, painting a future where intelligent algorithms revolutionize how we organize, search, andContinue Reading
In the world of photography, the magic often happens in the blink of an eye. A photographer must capture a moment that is gone almost as soon as it arrives. This ability to seize the ephemeral is not just luck—it is the mastery of probability, honed through years of experienceContinue Reading
Four visual AI platforms are setting industry standards by training their models on ethically sourced data, compensating creators fairly, and preventing the generation of copyrighted content. Adobe, Getty Images, Shutterstock, and Bria.ai have established revenue-sharing and bonus systems, with vast proprietary image databases, to support ethical AI development. These companies are leading the charge in demonstrating that AI can succeed commercially while adhering to responsible data practices and bypassing the need for regulatory oversight.Continue 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