AI output evaluation practice
Assess generated claims, citations and recommendations before relying on them.
What you will learn
- Apply ai and digital literacy to unfamiliar scenarios.
- Explain a conclusion using relevant evidence and constraints.
- Compare your reasoning with structured answer guidance.
This untimed practice set develops ai and digital literacy. Write a brief reason before opening the guidance. These activities teach transferable reasoning and are not live assessment items.
Practice activities
An AI response cites a paper that cannot be found. What should happen next?
Review answer guidance
Treat the citation and dependent claim as unsupported. Search authoritative databases, verify title, authors and identifier, and replace or remove the claim rather than inventing a corrected reference.
Two AI systems give the same answer. Does agreement verify it?
Review answer guidance
No. Systems may share training data, common errors or copied sources. Verify material claims against independent authoritative evidence.
A generated summary omits a minority view present in the source. Why does this matter?
Review answer guidance
The omission can change interpretation and decisions. Compare the summary with the full source, restore decision-relevant disagreement and state the limits of compression.