AN INTEGRATED COGNITIVE–ETHICAL FRAMEWORK FOR AUTONOMOUS AI SAFETY: Linking Cosmological Analogy, Bioethical Reasoning, and the 3-in-1 Spiritual Formula with the Cognitive Decision Marker (CDM)

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This paper proposes an interdisciplinary theoretical framework connecting a three-vector cognitive model—the 3-in-1 Spiritual Formula of Cognition—with a Cognitive Decision Marker (CDM) architecture for ethical decision control in autonomous artificial intelligence (AI) and robotics. The framework is inspired by Qur’anic epistemological concepts concerning the unseen (al-ghayb), accountability and consequence, and the pursuit of a peaceful and ordered state. It also uses a limited cosmological analogy: modern cosmology indicates that ordinary matter constitutes only a small fraction of the cosmic energy budget, while dark matter and dark energy are inferred primarily through their observable effects. This empirical fact is not presented as scientific proof of the Qur’anic concept of al-ghayb; rather, it is used as an epistemological analogy concerning the distinction between directly observable variables and inferred or non-immediate variables. The proposed CDM architecture translates the three cognitive vectors into computational safety functions: context recognition, consequence/risk assessment, and harm-reduction or stability optimization. The model is intentionally presented as a conceptual and testable proposal rather than as an experimentally validated AI-safety mechanism, a deterministic theory of morality, or a physical derivation from Qur’anic verses. The paper identifies potential mappings to established AI risk-management principles, proposes formal representations and safety-gate logic, and outlines empirical tests required to determine whether the framework improves robustness, interpretability, human oversight, and harm prevention in autonomous systems.