ML Bias Survey for Data Scientists

1.For how many years has building machine learning algorithms been a core part of your employment?
2.How confident are you in your ability to quantify the effectiveness of a machine learning model (3 - super duper confident, 1 - not confident at all)?  This should include your intuition for how a change in the application of the algorithm changes the appropriate measure, and which metric or set of metrics you use to communicate the effectiveness of the model.
3.How confident are you in your ability to quantify the fairness of your ML model (3 = super duper confident, 1 = not confident at all)?  This should include your intuition for how a change in the application of the algorithm changes the appropriate measure, and which metric or set of metrics you use to communicate the fairness of the model.
4.Do you conduct internal reviews where you assess the effectiveness of your ML algorithms?
5.Do you conduct internal review where you assess the fairness of your ML algorithms?