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It is argued that imitation-based evaluation is misaligned with general intelligence systems and the Reversed Turing Test (RTT) is introduced, which asks whether a machine can be identified precisely because its performance is measurably superhuman.
The survey traces the development of FCMs from graph-based encodings of expert knowledge to modern modeling and decision-support tools, and it presents the underlying mathematics, including concept activation dynamics, weight update rules, activation and membership functions, defuzzification, and error functions for su...
Large language models have shifted AI toward statistical learning, but knowledge-based methods remain essential for tasks governed by combinatorial structure, declarative correctness, strong domain priors, and auditable reasoning. This paper treats the issue as one of task–architecture fit rather than paradigm competit...
This work conceptualizes AI guardrails as sociotechnical governance mechanisms, comprising policy, technical, and workflow components that embed organizational norms in deployed AI systems, and specifies three mechanisms targeting four properties: predictability, fairness, safety, and auditability.
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