Which of the following cases raise ethical issues concerning the collected, use, and re-use of data?

Question

BlackTom AI · Accepted Answer

All the statements listed here.

1. Relevant knowledge points and concepts
- Data privacy and confidentiality: personal financial, employment and medical data require protection and informed consent for collection, use, and sharing.
- Consent and purpose limitation: data should be used only for the purposes the subject consented to; re‑use can breach consent.
- Bias, fairness and discrimination: predictive models trained on outdated or biased historical data can produce discriminatory outcomes.
- Explainability, accountability and safety: AI-driven clinical tools require transparency, validation, and mechanisms for human oversight to avoid harm.
- Re-identification risk and secondary use: supposedly de-identified datasets can sometimes be re-identified, creating privacy risks.

2. Step-by-step reasoning for each option
- Taylor Swift / HR predictive software: If the model was trained on outdated criteria, it may encode historical biases (step 1: training data contains bias; step 2: model learns biased patterns; step 3: decisions (denying contract renewal) perpetuate unfairness). That raises ethical issues of fairness, contestability, and accountability.
- Suzy Bae / ANZ loan and subsequent offers: She provided personal financial info for a loan (step 1: data collected for specific purpose); step 2: that data ends up used by insurers without consent (purpose creep); step 3: privacy breach and potential harm from unwanted marketing or profiling—ethical and legal concerns.
- John Mayer / AI diagnostic support: Use of global patient data in AI can raise issues of consent for secondary research, data quality and bias, lack of explainability for clinicians, and potential patient harm if AI is incorrect or misapplied.

3. Intermediate reasoning steps (no numeric calculations needed)
Each scenario individually demonstrates a distinct facet of data ethics: fairness (HR), privacy/consent (financial data), and safety/explainability/secondary use (medical AI).

4. Why the correct answer is correct
Because all three listed scenarios illustrate real, distinct ethical issues in the collection, use, and reuse of data; therefore the comprehensive choice “All the statements listed here.” correctly captures that each case raises ethical concerns.

5. Why other options are incorrect
Selecting any single scenario as the only answer is incomplete: each of the first three options is true but singular—none covers all ethical problems presented across the examples.

6. Conclusion
The correct answer is “All the statements listed here.” This explanation confirms and matches the provided answer.

Which of the following cases raise ethical issues concerning the collected, use, and re-use of data?单项选择题

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