Some of our latest articles on visual tech:

• Biases in Photography: What We Capture and What We Share

  
  

  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,

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• Rethinking Photography in the Age of AI

  
  

  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,

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• The Content Tsunami: Navigating the Overload

  
  

  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 of

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• Anchoring Trust in Visual Content

  
  

  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 sense

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• The AI Revolution in Digital Asset Management: Promise vs. Reality

  
  

  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, and

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• Photography, AI and the hidden laws of probable outcome

  
  

  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 experience

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• 4 Visual AI Platforms Proving That AI Can Thrive with Properly Licensed Content

  
  

  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.

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• The birth of a new photography standard

  
  

  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.

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• Authenticity in the Digital Age: Going Beyond Certified Organic

  
  

  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.

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• The Uncanny Valley of Information in Deepfakes

  
  

  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.

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• Requiem for a friend

  
  

  This industry, the stock and news photo industry, has a unique draw to the most varied, most eclectic individuals than any other. There is no school or degree that one can take to learn how to manage millions of images/videos to rent them to hundreds of thousands of users worldwide. No school or degree that … Read More →

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• Photojournalism favorite sister – Jocelyn Manfredi

  
  

  It’s with words heavy in pain that we write these lines. Jocelyn Manfredi, the unwavering pillar of Sipa Press and photojournalism, has left us. Jocelyn was a multiple exception. A woman in a world full of macho men, she juggled multiple conversations while watching the news, in various languages, still making you feel like you … Read More →

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