Some of our latest articles on visual tech:

• 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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• Three technologies that will dominate the visual tech sector in 2024

  
  

  The year 2024 marks a milestone in digital imagery evolution as groundbreaking technologies redefine visual expression. Generative AI revolutionizes visual content, while Extended Reality (XR) and Neural Radiance Fields (NeRF) reshape 3D modeling. These innovations permeate every aspect of our visually-driven society, promising a future where physical and digital realities merge in unprecedented ways.

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• Combating Online Counterfeiters: Ensuring Image Authenticity

  
  

  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 “a

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• The game-changing impact of AI on the photo industry

  
  

  Last week, Lightricks CEO Zeev Farbman candidly shared how AI is impacting Lightricks’ photo editing app business. For one, AI tech makes some of the work that used to require specialized software and expertise trivial, according to Farbman in last week’s interview with Axios.  “It’s clearly a complete game-changer, meaning

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• The Value of Trust in Photography

  
  

  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,” a

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• What we learned about Google Photos at Visual 1st

  
  

  Five takeaways from our Visual 1st fireside chat with Google Photos John Fisher               1. Meeting the challenges of a single photo solution used by 1/5 of the world’s population requires consistent adhesion to a clearly defined mission, coupled with intensive user research. Despite

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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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• New Media, New Rules: Reimagining Photojournalism

  
  

  When was the last time you saw a great news picture? Or a piece of reportage that truly made an impact? Regardless of your opinion of the winners, did you see any of the World Press images winners when they were actually published for the first time? If you can’t recall a specific date, don’t … Read More →

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