Module 6: Human-AI interaction and workflow design#
Theme#
Human-AI interaction and workflow design
Essential Question#
How should AI support decisions without hiding accountability?
Module Components#
Book prose: conceptual framing, domain scenario, methods, and failure modesAssignment: evidence-backed production of a specific artifactSlides: presentation sequence for seminar or lecture deliveryNarration: spoken version of the slide flowRubric: criteria for evaluating the module artifactNotebook: executable lab aligned with the module theme using synthetic system evidence including task features, model outputs, confidence signals, and review outcomes
Module Artifact#
AI system review package with architecture, evidence, limitations, and deployment recommendation focused on human-ai interaction and workflow design: Design an interaction flow with escalation and override points.
Professional Setting#
Students work as if advising an AI review team evaluating a proposed applied AI system before pilot deployment. Their work must be intelligible to technical lead, domain owner, governance reviewer, and end-user representative.
Use This Module in Order#
Review the slide deck with the matching narration.
In Populi, open the private student-repository link for this course and enter
modules/module-6.Clone the repository once or open its Codespace/Colab copy; run
lab.ipynband completeexercise.ipynbthere.Self-check with the rubric, commit and push the work, then submit exactly what Populi requests.