update sigs/xai/README.md.

Signed-off-by: 周剑 <zhoujian105@h-partners.com>

sigs/xai/README.md

@@ -8,7 +8,7 @@ Explainable AI (also termed transparent AI) is a form of artificial intelligence
 
 <u>Theoretical flaws in machine learning decision-making mechanisms</u>
 
-Due to data samples' general limitations and biases, this association learning will inevitably learn a spurious relationship. A model based on this as a decision-making basis may perform well on most test data, but in fact, the reasoning and decision-making ability based on correct causality has not been learned, and its performance will be greatly reduced when faced with new data with distribution shift from the training samples. 
+Due to data samples' general limitations and biases, this association learning will inevitably learn a spurious relationship. A model based on this as a decision-making basis may perform well on most test data, but in fact, the reasoning and decision-making ability based on correct causality has not been learned, and its performance will be greatly reduced when faced with new data with distribution shift from the training samples.
 
 <u>Application pitfalls of machine learning</u>