Some of our latest articles on visual tech:

• 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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• GenAI and the forced evolution of Photography: From Artifice to Authenticity

  
  

  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 emerged

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• A Royal Fiasco ?

  
  

  It started quite innocently. A family picture for Mother’s Day to share with close ones and the world. Just before sending, a quick alteration here and there to make everyone look better, remove distractions, and voila. Posted on social media as well.Except this mother is not your everyday mom. She’s a queen in waiting, and … Read More →

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• Caught in the headlight

  
  

  As giants like Midjourney, OpenAI, Google, and Microsoft freely plunder their work, the stock photo industry—Getty aside—stands by, silently complicit in its own demise. Most of their activity is limited to sharing articles about pending lawsuits and legislation, hoping that maybe somehow they will gain something out of it. At the same time, they remain … Read More →

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