AI fundamental

Grounding and evidence

Embeddings, retrieval, source selection, context insertion, claim support, provenance, and bias.

Explanatory foundation

Guiding question

What evidence reached the model, and can each material claim be traced and checked?

Use observed results to support the explanation. State what the experiment cannot establish.

Related units

Where this fundamental is taught

Open the complete Friday guide for the conceptual input, demonstration, experiment, caveat, and transfer activity.

Unit 04 · Teaching plan

From Opinion to Evidence: Grounding AI in Data and Sources

Participants learn that fluent output is only as defensible as the information made available to the model. They learn to inspect source selection, retrieval, chunking, citation, and claim support rather than treating a grounded answer as reliable merely because it contains references.

Grounding and evidenceData literacy