ai-public-governance

AI and Public Governance

POL-32450, Proseminar II, Universität Konstanz, winter semester 2026/27 Tuesdays, 11:45–13:15, Room G307

A small number of private labs are increasingly shaping not only how AI is developed, but also what we know about it, who benefits from it, and how it is governed. This seminar examines the concentration of power in AI development, its consequences for work, knowledge, and markets, and the challenges democracies face in governing a technology whose risks remain deeply uncertain.

Sessions

Date Session In class To do before this session Suggested workload (h)
Getting started        
Oct 20 Introduction Course overview
Ground rules for using AI tools
   
Oct 27 Paper exploration 25 min reading abstracts
Everyone presents one abstract in 3 min
Everyone picks the paper they will present: it becomes your topic
Look through the reading list and shortlist three papers you might present 2
Exploring topics   Each week: three topic presentations, an AI reflection, and one writing step shown on the model reading    
Nov 3 1. AI and work   Read your paper in full; write one sentence on how you would extend it
Read the model reading in full, and the abstract and introduction of the other two
ILIAS: research-question unit
13
Nov 10 2. Labs as producers of knowledge   Your exposé: introduction ending with your research question, plus a three-sentence conclusion
Readings as above
Find five papers related to yours
13
Nov 17 3. Labs shaping rules and markets   Your exposé: the figure you hope to show (dummy figure), with a results paragraph
Readings as above
Read the related papers
13
Nov 24 4. Governing risk with thin evidence   Your exposé: literature review paragraph and a figure or table that shows your gap
Readings as above
13
Dec 1 5. Democracy and power   Your exposé: hypothesis and design
Readings as above
Revise your introduction with what you have learned
13
Developing your exposé        
Dec 8 Short exposé: group feedback Swap short-exposé drafts in groups
Writing Centre: flash exposé
Your exposé: simple model and DAG
Put your sections together into a short-exposé draft
ILIAS: peer-feedback unit
15
Dec 15 Long exposé: introduction and literature gap Present your introduction and a visual overview of your literature gap; the group gives feedback Revise and submit your short exposé (about 2 pages plus bibliography, graded)
Long exposé: introduction and literature gap
15
Dec 22 Long exposé: theoretical model and DAG Present your theoretical model and DAG; the group gives feedback Long exposé: theoretical model and DAG 15
Dec 23 – Jan 6 Break No work    
Jan 12 Writing session Follow-up on the writing reflection
Writing Centre: writing session
ILIAS: writing-reflection unit
Long exposé: hypotheses and design
12
Jan 19 Social media thread Present your thread; the class gives feedback Long exposé: full draft
A social media thread covering all parts of your long exposé, on slides
13
Wrap-up        
Jan 26 Final presentations I Half of the class presents their long exposé (about 10 min, ungraded) Revise and submit your long exposé (10–12 pages, graded) by Jan 25 10
Feb 2 Final presentations II The other half presents    

Your exposé: a small extension of the paper you present. Each topic week, the model reading shows one writing step in class; at home, you write that step for your extension.

AI reflection: the presenter of the model reading shows how they used AI for that week’s writing task, what went wrong, and how to do it better.

Citation style: APA, as in the course template.

Readings

You will receive an invitation by email to the course’s Zotero group after the second session.

1. AI and work

2. Labs as producers of knowledge

3. Labs shaping rules and markets

4. Governing risk with thin evidence

5. Democracy and power