Question: A language arts educator asks an artificial intelligence tool to suggest classic novels for a reading list. The list primarily includes works by white male authors from the 19th century, excluding diverse voices and perspectives from different time periods. Which potential artificial intelligence limitation does this scenario describe?
- Inaccurate prediction of events
- Privacy concerns
- Unfair bias
- Hallucinations
Explanation
Unfair bias occurs when AI output reflects narrow, unbalanced, or exclusionary patterns from its training data or design. A reading list that overlooks diverse authors and perspectives can reinforce limited representation. This limitation is important to review because AI-generated suggestions may appear authoritative while still reflecting skewed patterns. Responsible use requires checking outputs for inclusivity, relevance, and alignment with instructional goals.
Why the other options are incorrect
Inaccurate prediction of events is incorrect because the issue involves representation, not forecasting.
Privacy concerns is incorrect because no personal or sensitive information is being exposed.
Hallucinations is incorrect because the issue is biased selection, not fabricated information.
Source for verification
https://cloud.google.com/learn/what-is-artificial-intelligence
https://docs.cloud.google.com/vertex-ai/generative-ai/docs/learn/responsible-ai
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