EP421: Fixing AI Hallucinations with RAIL Principles

Title: The RAIL Principles for Neurosymbolic AI: Reasoning, Assurances, Interfacing and LearningSource: http://arxiv.org/abs/2608.04285v1Summary:This paper proposes foundational principles for Neurosymbolic AI, a critical approach for developing agents with advanced reasoning capabilities and interpretability. These principles can guide the design of novel agentic reasoning loops and architectures that integrate symbolic knowledge with neural learning.