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Real-time adaptation of symbolic representations for transparency

Develop mechanisms that adapt and evolve symbolic representations in real-time within Neuro-Symbolic AI systems while maintaining transparency of the associated reasoning processes.

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Background

The paper reviews neuro-symbolic improvements in summarization, logical reasoning, and factuality. The authors explicitly identify the unresolved challenge of evolving symbolic structures during operation without losing transparency.

References

Open research questions remain around how Neuro-Symbolic AI can adapt and evolve symbolic representations in real-time to maintain transparency, integrate meta-cognitive mechanisms for self-monitoring and adjustment of reasoning strategies, develop explainable NLP techniques for complex cognitive tasks, and ensure factual consistency in AI outputs while providing clear, detailed explanations of the underlying reasoning process.

— Neuro-Symbolic AI in 2024: A Systematic Review (2501.05435 - Colelough et al., 9 Jan 2025) in Section 4.3 Explainability and Trustworthiness