Why Does AI Matter as a Public and Ethical Issue?Tue, Aug 18 How Do Humans Learn? Biological FoundationsThu, Aug 20 How Do Humans Learn? Psychological FoundationsTue, Aug 25

How Do Humans Learn? Sociocultural FoundationsThu, Aug 27

Judgment, Ethics, and Theory of MindTue, Sep 1

Imagining Futures: Who Gets to Define the Desirable?Thu, Sep 3

2. Machines, Data, and AI

How Do Computers Compute?Tue, Sep 8

Computing Is PhysicalThu, Sep 10

How Did AI Change Over Time?Tue, Sep 15

How Do Technological Change and Labor Markets Shape Life After College?Thu, Sep 17

What Changed With Machine Learning and Neural Networks?Tue, Sep 22

What Are Generative AI and LLMs Actually Doing?Thu, Sep 24

3. A Toolkit for Understanding AI in Society

How Does the World Become Data, and Why Is AI a Sociotechnical System?Tue, Sep 29

What Counts as Skill and Expertise?Thu, Oct 1

Fall BreakTue, Oct 6No class

How Do Predictions Become Decisions?Thu, Oct 8

Are Predictions Ever Neutral? Norms, Bias, and Technological SolutionismTue, Oct 13

4. AI Enters the World

Domain A: How Does This Institution Already Work?Thu, Oct 15

Domain A: What Changes When AI Enters?Tue, Oct 20

Domain B: How Does This Institution Already Work?Thu, Oct 22

Domain B: What Changes When AI Enters?Tue, Oct 27

Transfer Lab: How Does a Different Institution Work Before AI?Thu, Oct 29

How Are Opportunity and Professional Life Shaped by Networks and AI Tools?Tue, Nov 3

5. Patterns Across Domains: AI, Power, and Political Economy

What Patterns Recur Across Domains?Thu, Nov 5

Who Controls AI?Tue, Nov 10

What Responsibilities Do People Have Inside Organizations Adopting AI?Thu, Nov 12

6. Governing Futures That Do Not Yet Exist

University Senior SymposiumTue, Nov 17No class

What Is Technically Different About Neuromorphic Computing?Thu, Nov 19

How Can We Govern an Emerging Technology Before Its Uses Are Settled?Tue, Nov 24

7. Synthesis: Professional and Civic Responsibility

Thanksgiving BreakThu, Nov 26No class

What Responsibilities Do We Have as Professionals and Global Citizens?Tue, Dec 1

8. Final Public Explainers and ELSI Presentations

Thu, Sep 10

Module 2. Machines, Data, and AI

Computing Is Physical

Data centers, energy, water, minerals, and supply chains behind every AI system.

Topic / Focus

Today follows computing’s material basis into its environmental and global footprint: data centers, energy, water, minerals, and supply chains. AI’s costs are not only computational; they are extracted, shipped, and disposed of somewhere.

Format: Full class · Lesson template: Case / Systems Analysis

Guiding Questions

What environmental and material costs sit behind an AI system?
How does ‘hidden material costs’ function as a deployment pattern?
Who bears the environmental and labor costs of computing, and who benefits?

In This Class

In this meeting, we will:

trace an AI system’s material footprint from minerals to data center to disposal
analyze hidden material costs and invisible labor as recurring deployment patterns
discuss extraction disguised as innovation as a rhetorical move