Before revision:  The former scenario gives us a tool for detecting the types of biases present in the model , and the latter is useful for mitigating biases in downstream applications (e. g., dialogue generation).
After revision:  The former scenario enables us to detect the types of biases present in the model , and the latter is useful for mitigating biases in downstream applications (e. g., dialogue generation).