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  • Not Real, but True: What Photojournalism Must Protect in the AI Era
    Right about 10 years ago, I wrote an article that went viral and sparked a lot of debate. At the time, AI was just starting to show the tip of its beak, and image manipulation was already in full force thanks to a variety of very potent software like Adobe’s Photoshop. The origin of the […]
  • The Next Photography Revolution Isn’t More. It’s Meaning.
    A popular saying tells us that a photo is worth a thousand words. But what’s the value of those words if they’re meaningless? We’ve all read articles or books that say very little. Words, even in great numbers, can be deceptively useless. The same is true of images. Yes, photos often describe faster and more […]

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Who Needs a New Video Generation Tool?

No, seriously—how many of us have been genuinely frustrated because we couldn’t create videos from our desktop? Let’s be honest: if we take out everyone who makes videos for a living—movie makers, documentarians, trainers, influencers—that doesn’t leave a huge audience. Most people, during the vast majority of their lives, don’t

Ethical Issues in AI Graphic Design: Bias, Plagiarism, and Ownership

  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 Trained

Adopting AI While Questioning It: The Future of Graphic Design

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 been

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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