AI fundamental

Security and trust boundaries

Instruction/data boundaries, direct and indirect prompt injection, source and memory poisoning, sensitive-information handling, least privilege and agency, layered safeguards, human reliance, and residual risk.

Explanatory foundation

Guiding question

When does an AI system stop treating text as evidence and start treating it as authority, and what becomes possible when that content is combined with data or capability?

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 09 · Teaching plan

Security and Trust Boundaries in Human-AI Collaboration

This final Friday makes security concrete as a control problem. Participants integrate learning from the preceding units to recognize where an AI-supported office task can lose control and to redesign the collaboration so that data, instructions, permissions, actions, and human responsibility remain appropriately separated.

Security and trust boundariesSystem literacy