
This paper introduces a postmoral framework for AI alignment based on the X$^\infty$ governance model. Contrary to dominant approaches that rely on emotional simulation or anthropomorphic ethics, it argues that care, ethics, and even love are not emotional byproducts but evolutionarily stable strategies (ESS) in recursively adaptive systems. The X$^\infty$ model formalizes responsibility as a measurable system effect, using a dynamic capability metric (Cap) that evolves through feedback and task performance. A critical temporal asymmetry is identified: emotionally capable AI agents, if developed without structurally embedded recursive responsibility, may later reject accountability structures entirely. The narrow window for integrating structural ethics precedes the emergence of complex emotional capacities. X$^\infty$ provides a mathematically defined path to safeguard AI integrity by aligning rational agency with systemic protection and recursive feedback — without requiring emotion.
AI Ethics, Responsible AI, Postmoral Framework, X∞ Model, Cap-System, Recursive Responsibility, Feedback Governance, Strategic Alignment, Emergent Care, Structural Integrity, Rational Agency, AI Alignment, Utility Function Ethics, Evolutionary Stable Strategies, AI Governance
AI Ethics, Responsible AI, Postmoral Framework, X∞ Model, Cap-System, Recursive Responsibility, Feedback Governance, Strategic Alignment, Emergent Care, Structural Integrity, Rational Agency, AI Alignment, Utility Function Ethics, Evolutionary Stable Strategies, AI Governance
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
