Fairness: Quiz

According to the videos, what is Aristotle’s classical definition of fairness?

A) Fairness is treating everyone exactly the same regardless of their individual differences.

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B) Fairness is the absence of any prejudice or favoritism toward an individual or group.

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C) Fairness is treating equals equally and unequals proportionately unequally within the decision domain.

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D) Fairness is ensuring that all outcomes are distributed perfectly across demographic groups.

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In the skin cancer AI case study, what is the core dilemma regarding the tool’s effectiveness on different skin tones?

A) The tool is unfair because it works better for those with darker skin who are more vulnerable.

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B) The tool works better on lighter skin (due to physics and data), but lighter-skinned individuals are also more vulnerable to the disease.

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C) The tool is fair because it uses the same mathematical algorithm for every person regardless of their skin color.

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D) The tool is unethical because it replaces the need for dermatologists in hospitals.

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In the video about hiring algorithms and the “bookshelf” background, what ethical question is raised about the “decision domain”?

A) Whether the AI is fast enough to process thousands of applications in a single day.

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B) Whether it is fair to include the background of a video as part of the candidate's evaluation or if it should be extracted.

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C) Whether actors should be legally allowed to use green screens during their job interviews.

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D) Whether companies should be allowed to use AI to score personality traits like "agreeableness."

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Why is there a fundamental dilemma between the values of privacy and fairness in AI?

A) Because protecting privacy is more expensive for companies than ensuring fairness.

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B) Because privacy laws prevent AI from being used in public spaces where fairness is most needed.

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C) Because fair algorithms are inherently more transparent and thus cannot be kept private or proprietary.

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D) Because to measure and ensure a tool is fair (e.g., across race or gender), you must first collect that private demographic data.

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What ethical trade-off did Google face when its AI (Gemini) generated diverse images for historically non-diverse groups like the “Founding Fathers”?

A) Prioritizing representational fairness (diversity) over truthfulness and dignity (not lying to the users).

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B) Prioritizing technical speed over the quality and resolution of the generated images.

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C) Choosing between distributive fairness and individual fairness in high-stakes hiring scenarios.

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D) Balancing the cost of training the model with the need for religious and cultural diversity.

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Emotion AI Ethics

Participants 871

James Brusseau 12/01/2026

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