This unit synthesizes prior learning to center human control, oversight, and ethical considerations in AI and automation systems. Students study case material (including the Robb Wilson example), extract key takeaways, and produce practical design briefs and roadmaps that prepare them for future technical, career, and policy decisions.
Learning Objectives
- Analyze at least three key takeaways from previous units and Unit 2 lessons, using the Robb Wilson case study to identify ethical, social, and workforce impacts of AI and automation
- Apply human-centered design principles to develop a one-page requirements brief for an automated system that preserves human control, including oversight, transparency, and fail-safe mechanisms, and justify each design choice
- Demonstrate foresight by producing a two-year roadmap that outlines career pathways, policy considerations, and upskilling strategies for stakeholders adapting to increased automation
- Evaluate two alternative design approaches for maintaining human-controlled outcomes by comparing benefits, risks, and trade-offs, and recommend one approach with evidence-based justification
Curriculum
- 1 Section
- 4 Lessons
- 30 hours
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- Unit 2 — Designing Human-Controlled Outcomes4
Instructor
Free
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