Understanding Before Ethics: A Four-Dimensional Foundation for AI Moral Agency

Contemporary artificial intelligence ethics frameworks frequently commit a category error: they attempt to instantiate ethical behavior in systems that, on the account developed here, lack the prerequisite capacity for genuine understanding. This paper argues that understanding, properly conceived as a multi-dimensional cognitive achievement, constitutes the irreducible foundation upon which any meaningful AI ethics must be built. Drawing on Markus Gabriel's Sinnfeldontologie, Hartmut Rosa's resonance theory, Yasuo Deguchi's We-Turn philosophy, and insights from DeepMind's MuZero architecture, we develop a four-dimensional account of the depth of understanding required for authentic moral agency. We distinguish clearly between Ethics-of-AI (E1), concerning governance and oversight of AI systems, and Ethics-by-AI (E2), concerning AI systems as potential moral agents. Our analysis gives reasons to doubt that current AI systems, despite sophisticated behavioral outputs, achieve the ontological grounding, relational responsiveness, social embeddedness, and operational world-modeling that genuine ethical reasoning presupposes. The paper introduces the Cognitive Agent Memory Architecture (CAMA) as a research program for cultivating, rather than guaranteeing, the conditions necessary for AI understanding. We provide operational indicators for each dimension, propose a minimal viable experimentalization framework for empirical investigation, and address major philosophical objections to our position. The paper gives a methodological justification for the four dimensions, treats the relationship to consciousness and embodied cognition, and illustrates the CAMA architecture in practice. This version repairs the paper against its own rules. The claim ledger of §0.3 now reaches the sections that lacked it, the evaluation indicators of §7 record where each one comes from, and the empirical basis of §3.6.1 is corrected and brought up to date. Diagnostic claims about current systems are stated as the reading they are rather than as a measurement. §0.4 lists the corrections and the additions, and a new §12 reports what chapter 7 contains and where it came from.