AINeutralarXiv – CS AI · 7h ago6/10
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In Defense of Information Leakage in Concept-based Models
Researchers challenge the conventional wisdom that information leakage in concept-based neural networks is inherently harmful, arguing that some leakage is necessary for building accurate and practical AI systems. The paper proposes that 'benign leakage' can coexist with interpretability when concept descriptions are incomplete, reframing how these models should be optimized.