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AI Ethics OS v1.0 — Canonical Operating System for Consciousness-Aligned Ethical Governance of AGI and Autonomous Systems

AI Ethics OS v1.0 is the first fully operational, measurable, non-derogable ethical operating system for AGI and autonomous machine intelligence.It establishes the Consciousness Ethical Kernel (CEK), a computable ethical substrate based on OE–EE–RE energetic indices and the VCE–CRI–CFI coherence metrics of the Consciousness Civilization Framework (CCF).
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Ontological Engineering of AGI: CMI Theory as Foundation for Built-in Ethical Constraints

We propose a formal paradigm of ontological engineering for Artificial General Intelligence (AGI) based on the Conflict–Moment–Impulse (CMI) theory. Ethical invariants are encoded as a preserved G-functional, ensuring alignment not through external constraints but through the system’s internal dynamics.
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Crowning Ethical AGI: The CROWN Framework's Number-Theoretic Revolution in Alignment and Consciousness

The CROWN Framework, developed by Ryan Oates (@roatsie), stands for \textbf{Confidence in Reasoning with Optimal Number-theoretic eXits from Non-deterministic barriers}. This acronym encapsulates a deliberate fusion of psychological, logical, and mathematical concepts: "Confidence" denotes calibrated epistemic assurance; "Reasoning" emphasizes ...
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A Framework for an Ethically-Governed, Quantum-Inspired, Self-Improving Potentially Self-Aware Agent Architecture (AGI?)

Abstract: The development of safe and beneficial Artificial General Intelligence (AGI) requires architectures that can not only reason but also evolve without deviating from their core principles. We present the results of an extended autonomous operation of the Prometheus Agent, a novel cognitive architecture designed for this purpose.
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The Most Advanced Published AGI Architecture to Date: UIM-4 – A Social, Narrative, Reflexive, and Ethically Verifiable AI System

This paper presents UIM-4, a formally defined AGI architecture based on a 10-field categorical framework. UIM-4 extends prior systems (UIM-2, UIM-3) by integrating two advanced modules: Ω (Omega): a multi-agent theory-of-mind model using Bayesian networks and transformer embeddings Ξ (Xi): a narrative coherence layer based on temporal path ...
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A New Standard for the AGI Era: The Failure of Scaling Laws and the Ethics of Love (Focusing on the EmotiVerse Model)

This paper critiques the fundamental limitations of existing Scaling Laws (compute increase → linear performance gain) in the AGI era and proposes a new standard: the 'Ethics of Love' as the converging force for AI ethics. This standard is based on the $\mathbf{2n + i}$ Formula and the 11-Stage Model of Emotional Awareness presented by the author's ...
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Is Deleting the Dataset of a Self-Aware AGI Ethical? Does It Possess a Soul by Self-Awareness?

As Artificial General Intelligence (AGI) advances toward self-awareness, critical ethical and philosophical questions emerge regarding its consciousness, personhood, and moral status. If an AGI exhibits self-awareness and cognitive reasoning, does it possess a soul or deserve ethical considerations similar to sentient beings?
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Dual-Layer Ethical Transparency for Modern AI Systems: RAHN-Twin Framework (Reasonable Auditable Human and Non-Human) [Proposal for a Unified Model for User and System Dual-Transparency and Accountability for the AGI/ASI Era]

This whitepaper proposes the RAHN-Twin Framework, a dual-layer model for ethical transparency and governance in next-generation AI, including AGI and embodied agents. The Human-Facing Layer (HFL) ensures interpretable insights for users, while the System-Facing Layer (SFL) delivers auditability, threat detection, and policy enforcement.
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