Results 111 to 120 of about 1,917 (148)
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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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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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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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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?openaire +1 more source
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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Biomedical ethics 2.0: redefining the meaning of disease, patient and treatment
Nature Reviews Molecular Cell Biology, 2020Frederick Grinnell
exaly
Toward a Better Understanding of Behavioral Ethics in the Workplace
Annual Review of Organizational Psychology and Organizational Behavior, 2020David De Cremer, Celia Moore
exaly

