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Dedicated to Data Science, Machine Learning, and Applied Intelligence, we recently published a series exploring some of the most important developments in Photo Intelligence — including the growing challenge of image authenticity. Let’s face it: we’ve lost the ability to fully trust what we see. Real images are edited, filtered, enhanced, and computationally processed, while AI-generated or AI-enhanced images are no longer obviously fake. As a result, synthetic media analysis increasingly requires a new form of Visual Forensics: technical image analysis that sheds light on often conflicting signals of manipulation, editing, diffusion, provenance, and authenticity. Not just detection — but reasoning and explanation aimed at deeper understanding. We kick off with a post explaining in depth, why AI Image Detection is broken. The next post takes the conceptual shift from uncovering to reasoning. We go Beyond AI Detection in Building SignalLens, probing the processes that contributed to an image becoming what it currently is.

News: there have been reports that for a short while downloads for DedupTool and SignalLens where unavailable – these have been restored!

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