Human-Centered Counterfactual Explanations for Time Series Interventions
Analysis
This ArXiv paper highlights the importance of human-centric and temporally coherent counterfactual explanations in time series analysis. This is crucial for interpretable AI and responsible use of AI in decision-making processes that involve time-dependent data.
Key Takeaways
- •Emphasizes the need for human-centered explanations.
- •Stresses the importance of temporal coherence in interventions.
- •Relevant for interpretable AI and responsible AI development.
Reference
“The paper focuses on counterfactual explanations for time series.”