Theology meets AI: Machine learning framed as sacred learning dynamics

A paper proposes integrating machine learning principles with a theological framework called the COFE-CYEM Vacuum Theory (CCVT). The authors interpret ML as a "living grammar of learning" that reveals sacred dynamics like correction and emergence. The paper translates ML lifecycle phases into theological metaphors and outlines eight principles for "wonder-oriented" AI, emphasizing that reality has priority and learning is a continuous process. AI

IMPACT This paper offers a novel conceptual lens for AI development, framing learning processes within theological metaphors and suggesting principles for "wonder-oriented" AI.

RANK_REASON The cluster contains an academic paper proposing a novel theoretical framework. [lever_c_demoted from research: ic=1 ai=1.0]

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• Circle One Fellowship Exeter
• COFE-CYEM Vacuum Theory
• Machine Learning

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