artificial intelligence ↔ interpretability

Relations (1)

related 0.20 — supporting 2 facts

The relationship is established by the technical report on the psychological foundations of interpretability within the field of artificial intelligence [1], as well as the role of neuro-symbolic architectures in enhancing the interpretability of AI systems [2].

Facts (2)

Sources

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv 1 fact

referenceDavid A. Broniatowski and colleagues authored a 2021 technical report for NIST titled 'Psychological foundations of explainability and interpretability in artificial intelligence'.

A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer 1 fact

claimNeuro-symbolic architectures have the potential to improve the interpretability and controllability of AI systems as they scale, which supports the development of resilient and trustworthy applications in real-world environments.