ML model risks · Question 39 of 60

Which mitigations fit the risks "model causes side-effects" and "model exhibits reward hacking"?

1 answer is correct. Medium

1. A Drift testing and smoke testing after deployment respectively
2. B Side-effects testing and reward hacking testing respectively
3. C Performance testing and API testing of the model interface respectively
4. D Requirements review and fuzz testing with random inputs respectively