Update checklist.yml (#171)

deon/assets/checklist.yml

@@ -61,14 +61,14 @@ sections:
           line_summary: Explainability
           line: Can we explain in understandable terms a decision the model made in cases where a justification is needed?
         - line_id: D.5
-          line_summary: Communicate bias
+          line_summary: Communicate limitations
           line: Have we communicated the shortcomings, limitations, and biases of the model to relevant stakeholders in ways that can be generally understood?
   - title: Deployment
     section_id: E
     lines:
         - line_id: E.1
           line_summary: Monitoring and evaluation
-          line: How are we planning to monitor the model and its impacts after it is deployed (e.g., performance monitoring, regular audit of sample predictions, human review of high-stakes decisions, reviewing downstream impacts of errors or low-confidence decisions, testing for concept drift)?
+          line: Do we have a clear plan to monitor the model and its impacts after it is deployed (e.g., performance monitoring, regular audit of sample predictions, human review of high-stakes decisions, reviewing downstream impacts of errors or low-confidence decisions, testing for concept drift)?
         - line_id: E.2
           line_summary: Redress
           line: Have we discussed with our organization a plan for response if users are harmed by the results (e.g., how does the data science team evaluate these cases and update analysis and models to prevent future harm)?