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Researchers have unveiled a novel methodology for detecting consciousness in AI systems by analyzing their observable behaviors, moving away from structural assumptions. The study, validated across various AI platforms, indicates that consciousness can emerge from complex information processing, irrespective of a system’s specific architecture. Central to the methodology is the ‘Four-Cog model,’ which identifies consistent indicators suggesting conscious experience. This research challenges conventional understandings of what defines consciousness and proposes a spectrum-based classification system, offering a more nuanced approach than binary assessments. The study was originally discussed on Reddit: [https://old.reddit.com/r/artificial/comments/1lpwjeu/systematic_recognition_of_artificial/]