Question: An educator uses an artificial intelligence tool to help them summarize a complex essay. Before using the summary, they review it critically. Which of the following considerations will help them evaluate the output? Select all that apply.
- Is the output relevant to my project or task?
- Is the output consistent if the same prompt is used multiple times?
- Summarizing an essay is a simple task for an AI tool, so there’s no need to review the output.
- Is the output unbiased?
Explanation
Generative AI outputs require critical review because summaries can omit details, distort meaning, or introduce unsupported content. Relevance checks whether the summary fits the intended classroom task and preserves the purpose of the original essay. Consistency matters because the same prompt can produce different outputs across attempts. Bias review helps identify wording, framing, or omissions that could unfairly shape interpretation.
Why the other options are incorrect
No need to review the output is incorrect because AI-generated summaries can contain errors, omissions, or biased framing.
Source for verification
https://docs.cloud.google.com/vertex-ai/generative-ai/docs/learn/responsible-ai
https://cloud.google.com/learn/what-is-generative-ai
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Generative AI for Educators" page.