Which of the following BEST describes the purpose of a 'bias bounty' program for a deployed AI system?
Select an answer to reveal the explanation.
Short Explanation
A bias bounty works like a security bug bounty: you pay outside researchers to find bias and fairness problems in a live AI system. That external perspective helps surface issues your internal team might miss.
Full Explanation
The correct option is the one saying a bias bounty incentivizes external researchers, affected communities, and ethicists to proactively identify bias and fairness failures in production AI systems. It works like a security bug bounty: outside scrutiny is rewarded, surfacing issues internal teams may miss. The internal data scientist bonus option is wrong because it is not external reporting. The compensation-for-harm option is wrong because it describes remediation, not discovery. The regulatory fines option is wrong because it describes a penalty regime, not a bounty.