Improving explainable AI’s explanations
Nobody is talking about explainable AI. Everyone should be.

Why it matters
As AI systems become more complex and regulated, the ability to explain AI decisions becomes a competitive advantage and compliance necessity for enterprise deployments.
The key facts
3 to knowCausal analysis improves classification accuracy in concept-based explanatory models
Enhanced relevance of concepts identified by popular explainable AI models
Research from Amazon Science on improving AI transparency
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: Causal analysis improves both the classification accuracy and the relevance of the concepts identified by popular concept-based explanatory models.


