[D] Adversarial testing for Fairness and Biases

Is it worthwhile exposing ML models to the public for adversarially testing if it meets fairness conditions given that there are so many edge cases to test for when deploying ML model? (Similar to the concept of bug bounties in cybersecurity)

biases fairness machinelearning testing