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The Turbulent Road to AI Rule and a World Without Work

A guided seminar on artificial intelligence, labor, governance, meaning, and civic life, based on Stephen Christopher Rose's Crossing the Rubicon.

Purpose

Help students think clearly about the human stakes of artificial intelligence.

The course is designed for adult learners who want a serious, readable, discussion-driven way to understand automation, data power, algorithmic authority, and the prospect of a post-work society.

At a glance

  • Format: seminar, guided discussion, and short reflection prompts.
  • Length: suggested 8 sessions, adjustable to 4 or 6.
  • Materials: selected chapters, short articles, and optional video/audio resources.
  • Accessibility: large-print handouts, transcripts for media, and no required technical background.

Learning outcomes

By the end of the course, students should be able to:

Explain

Describe core AI concepts, automation pressures, and why AI governance is now a public issue.

Evaluate

Compare optimistic, pessimistic, and reform-minded views of AI's effects on work and democratic life.

Discuss

Participate in informed conversation about human purpose, education, community, and policy in an AI-shaped society.

Draft syllabus

Eight-session structure

SessionTopicCore question
1Crossing the RubiconWhat makes this moment different from earlier technological revolutions?
2Machines, labor, and displacementWhat kinds of work are most exposed, and what remains human?
3Data power and surveillanceWho controls the data that trains and governs intelligent systems?
4Algorithmic governanceWhen do automated decisions become political authority?
5Economics after workWhat would dignity, income, and contribution mean in a post-work society?
6Education and adaptationHow should adults and institutions learn in an age of accelerating change?
7Human purposeWhat gives life meaning if paid work becomes less central?
8Civic choicesWhat local, national, and personal choices matter now?

Teacher assistant

Give students a safe place to ask questions between sessions.

The course chatbot should answer from the course syllabus, explain concepts in plain language, suggest reflection questions, and encourage students to bring deeper disagreements back to class.

Open the Teaching Assistant