LÍVIA: The Post-Adaptive Criterion and the Admissibility Boundary of Artificial Intelligence in Critical Systems
Year: 2026
Type: article
Abstract: This work formalizes a post-adaptive admissibility criterion for artificial intelligence architectures deployed in critical systems. It establishes a strict epistemic–deontic boundary, defining conditions under which AI systems can be admitted as governable components with explicit identity stability, traceability, and human-authorized action.
Author: Paulo A. Melo e Silva
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7126416478
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