Question

What tools do researchers have to evaluate the fairness of existing black box models?

A: Evaluate inputs, evaluate data
B: Change training data, evaluate outputs
C: Change inputs, evaluate outputs
D: Change inputs, evaluate training data

Answer 1

Researchers have various tools to evaluate the fairness of black box models, including evaluating inputs and data, changing inputs and evaluating outputs, and changing training data and evaluating outputs.

Step-by-step explanation:

Researchers have several tools to evaluate the fairness of existing black box models. One approach is to evaluate inputs and evaluate data to identify any biases or discriminatory patterns. Another method is to change inputs and evaluate outputs to see if the model's decisions change in a fair and unbiased manner. Additionally, researchers can also change training data and evaluate outputs to determine if the model's performance improves in terms of fairness. It is important to use a combination of these tools to thoroughly evaluate the fairness of black box models.