An AI ethics board is reviewing an AI system that predicts student dropout risk in higher education. Students flagged as high dropout risk receive additional academic support. However, the AI risk team identifies that the model also shares flags with scholarship committees. Which ethical concern is MOST critical?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because collecting data to support student welfare and then sharing that data for scholarship decisions represents purpose creep and violates the ethical principle of purpose limitation. A dropout risk flag used in scholarship decisions could disadvantage already vulnerable students, compounding inequity rather than addressing it.
Full explanation below image
Full Explanation
B is correct because collecting data to support student welfare and then sharing that data for scholarship decisions represents purpose creep and violates the ethical principle of purpose limitation. A dropout risk flag used in scholarship decisions could disadvantage already vulnerable students, compounding inequity rather than addressing it. This also raises FERPA and GDPR compliance concerns. Model accuracy (A) is a secondary concern compared to the misuse of the data. Transparency (C) is important but secondary to the misuse. Consent for support (D) addresses a different concern.