Robustness in AI models is defined as the ability to maintain performance under varied and unforeseen conditions, while Uncertainty Quantification (UQ) provides a measure of confidence in model predictions, and intervenability enables human operators to effectively intervene in AI system operations.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (3)

• robustness concept
• artificial intelligence concept
• Uncertainty quantification concept