From Structuring to Alignment: Clarifying Before Generating
This Friday develops the unit's collaboration move through the specified literacy lens and prepares participants for the associated evidence-based challenge.
Literacy perspective
Human-Context Literacy
How trust, responsibility, legitimacy, ethics, leadership, culture, and social fit shape success.
What lecturers should notice
Use this as an experimental lens
Examine authority, accountability, affected stakeholders, contestability, appropriate reliance, and contextual fit.
Related units
3 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.
Leadership, Responsibility, and Legitimation in Human-AI Systems
Participants learn that a plausible AI recommendation does not become a legitimate decision merely because a human approves it. They learn to design and test the decision rights, evidence requirements, escalation routes, and opportunities for contestation that make human responsibility substantive rather than symbolic.
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.