Fairness for protected groups: Which mapping pairs each requirement with the responsible-AI principle it most
Fairness, human-centricity, safety and reliability, and privacy and security match the four requirements respectively.
The question
A credit-scoring model must not disadvantage protected groups, must let rejected applicants appeal to a human reviewer, must resist adversarial manipulation of its inputs, and must protect applicants' personal data. Which mapping pairs each requirement with the responsible-AI principle it most directly engages?
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- Privacy and security for protected groups, fairness for the human appeal, human-centricity for adversarial resistance, and safety and reliability for the data protection.Plausible but wrong: every pairing is shifted, so protected-group treatment is mislabeled and data protection is misassigned.
- Fairness for protected groups, safety and reliability for the human appeal, privacy and security for adversarial resistance, and human-centricity for the data protection.Plausible but wrong: only the fairness pairing holds, while the appeal, adversarial and data pairings are wrong.
- Human-centricity for protected groups, privacy and security for the human appeal, fairness for adversarial resistance, and safety and reliability for the data protection.Plausible but wrong: protected-group treatment is fairness, not human-centricity, and the remaining pairings are also swapped.
- Fairness for protected groups, human-centricity for the human appeal, safety and reliability for adversarial resistance, and privacy and security for data protection. ✓Correct: each requirement is matched to the principle whose definition it satisfies, with no misassignment.
The trap
Swapping fairness and human-centricity, or misplacing adversarial robustness among the principles. How to remember it
Fairness, human-centricity, safety and reliability, and privacy and security match the four requirements respectively.
How many of these would you get right?
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Every answer, right and wrong, comes with its own explanation.
