AIBullisharXiv – CS AI · 7h ago7/10
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The Standard Interpretable Model: A general theory of interpretable machine learning to deductively design interpretable methods using Lagrangian mechanics
Researchers introduce the Standard Interpretable Model (SIM), a theoretical framework grounded in Lagrangian mechanics designed to systematically create interpretable AI methods. The framework addresses a critical gap in AI development by providing deductive principles for designing interpretability approaches, potentially unifying fragmented research methodologies across traditional, concept-based, and mechanistic interpretability domains.