Literacy perspective

Data Literacy

How sources, grounding, retrieval, factuality, provenance, and traceability shape reliability.

Data literacy

What lecturers should notice

Use this as an experimental lens

Inspect what information reaches the model, how it was selected, and whether material claims remain traceable to adequate evidence.

Related units

2 units make this literacy visible

The role may be primary, secondary, supporting, integrated, or part of the attack surface; consult each unit’s metadata for the exact relationship.

Unit 04

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.

Data · PrimaryLevel 1: Instruction with grounded evidence control
Unit 09

Security and Trust Boundaries in Human-AI Collaboration

This Friday makes security concrete as a control problem. Participants experience how LLM systems can confuse untrusted content with trusted instruction, and how workflow design, source governance, permissions, and human checkpoints affect controllability.

Data · IntegratedLevel 5: Orchestration with security-aware control