Explainable AI in Epidemiology: Enhancing Trust and Insight
Analysis
This ArXiv article highlights the crucial need for explainable AI in epidemiological modeling. It suggests expert oversight patterns to improve model transparency and build trust in AI-driven public health solutions.
Key Takeaways
- •Emphasizes the importance of explainability in AI applications within epidemiology.
- •Proposes expert oversight as a key method for improving AI model transparency.
- •Aims to increase trust in AI-driven decision-making for public health.
Reference
“The article's focus is on achieving explainable AI through expert oversight patterns.”