AI curriculum
Course outline for Human–AI Workflow Design
Automation can obscure who must make a decision. Design human–AI collaboration with explicit authority, review, escalation, and opportunities to retain judgment skills.
About Human–AI Workflow Design
Automation can obscure who must make a decision. Design human–AI collaboration with explicit authority, review, escalation, and opportunities to retain judgment skills.
Human–AI Workflow Design Course Objectives
- Allocate tasks between people and agents.
- Define approval and escalation rules for uncertain outputs.
- Design a review exercise that exposes automation bias.
Pre-requisites
- Familiarity with a team or operational workflow.
- Basic awareness of AI limitations; coding is not required.
Lab Setup
- Computer with a diagram or text editor.
- Use supplied decision scenarios and simulated agent outputs; no model account is necessary.
Detailed Course Outline
Proposed modulesModule 1: Allocating responsibility
- Human-agent collaboration
- Division of work
- Human approval
- Human escalation
Practical outcome: Assign decision ownership and escalation paths.
Module 2: Preserving judgment
- Authority boundaries
- Uncertainty
- Review
- Skill retention
Practical outcome: Specify review criteria and practice needs.
Module 3: Testing collaboration
- Simulator-based practice
- Automation bias
- Ironies of automation
Practical outcome: Identify overreliance in a simulated process.
Practical exercise
- Simulate a human–AI decision workflow and revise its approval and review controls.
How we train
Contact us for full course details, including duration, delivery options and lab requirements.
Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.
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