Achieving interpretability involves several strategies:
Simplification: Complex data is broken down into simple, understandable parts. This involves using visual aids such as graphs and charts. Standardization: Using standardized methods and units allows for consistent interpretation across different studies and contexts. Contextualization: Providing context helps in understanding the relevance of the data. For example, explaining the exposure levels and actual risk to humans. Transparency: Openly sharing methodologies and assumptions used in the study helps others to understand and replicate the findings.
