851-0746-00L  Algorithms and Fairness

SemesterHerbstsemester 2021
DozierendeA. Stremitzer, A. Nielsen
Periodizitäteinmalige Veranstaltung
LehrspracheEnglisch
KommentarAny students enrolling in the course must complete a short writing assignment within two weeks of registering. Please contact the instructors via email (Link) for information about the assignment and for access to the course Slack workspace.


KurzbeschreibungFrom 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.
LernzielUnderstand 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.
InhaltThis 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