Can Artificial Intelligence Falsify or Independently Rediscover Verumika?

This paper develops a stricter second version of a research program linking verumika, artificial consciousness, and autonomous scientific discovery. The central methodological problem is that the statement “AI consciousness would falsify verumika” is scientifically meaningful only if both the verumic prediction and the detection of consciousness are specified before observation. Version 2.0 therefore separates three objects: the formal verumic hypothesis, an operational evidence protocol for artificial consciousness, and a blind protocol for testing whether an AI can independently reconstruct a principle equivalent to the verumic principle of ontological Justice. The paper does not claim that present AI is conscious or that consciousness has a universally accepted test. It proposes convergent indicators, independent adjudication, preregistration, causal perturbation where feasible, and explicit thresholds. It also distinguishes the dramatic empirical event of credible evidence for artificial subjective experience from the separate question of autonomous scientific discovery. The proposed rediscovery experiment can begin with current AI systems. The strongest evidential chain is independent rediscovery → formal equivalence → novel derivation → quantitative prediction → independent confirmation.