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

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 senseContinue 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

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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

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.Continue Reading

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,” aContinue Reading

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Generative AI has revolutionized content creation, allowing businesses to produce high-quality, personalized content at scale. However, with this technology comes a significant challenge – the trust issue. One of the main concerns with generative AI is that it may produce false or misleading content, which can harm the credibility ofContinue Reading

An arachnid man once said: ” with great power comes great responsibility”. In the case of AI, this statement could not be more accurate. With the quick appearance and large availability of generative AI, issues around ethics and responsible behaviour have increased, forwarding the debate to the front of manyContinue Reading