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Algorithms and Fairness
Last Updated: 2026-02-05 15:47:50
Abstract
From a legal, social science, and applied mathematics perspective, we address the increasingly important question of what AI fairness means and how AI fairness can be addressed by legal, social science, and applied mathematical research to inform policy making.
Objective
Understand the history of fairness as defined in law, social science, and applied mathematics research Identify logical and mathematical conflicts between different definitions of fairness Explain why fairness and AI is a highly contested and unresolved problem in law.
Content
This block course will be broken into three components. Fair outcomes: the equality/equity debate -The proliferation of fairness definitions -Impossibility theorems -AI & fundamental rights Fair process -Appropriate use of AI in administrative or judicial roles -AI counterparties -Fair markets Fair distribution -Distributing scarce resources -Data markets and data labor -The future of work
General Information
- Language
- English
- Levels
- DS
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 40
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Algorithms and Fairness |
|
14 h semesterly |
Offered In
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GESS Science in Perspective (Only the topics listed in this paragraph can be chosen as GESS Science in Perspective. Further below you will find the "type B courses Reflections about subject specific methods and content" as well as the language courses. 6 ECTS need to be acquired during the BA and 2 ECTS during the MA Students who already took a course within their main study program are NOT allowed to take the course again.)
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Type A: Enhancement of Reflection Competence (Suitable for all students. Students who already took a course within their main study program are NOT allowed to take the course again.)
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