Seminar teaches trade-offs in algorithmic fairness within AI systems, highlighting needed changes in digital ethics pedagogy.
This article outlines a seminar on algorithmic fairness, as part of a course in digital ethics. Part of the function of the seminar was to teach students trade-offs within the use and design of AI systems as it concerns fairness of algorithmic decision-making. Here I reflect on the teaching of trade-offs through the lens of said seminar, and conclude by calling for substantive changes in the pedagogy and methodology of teaching digital ethics.
No takes yet. Share an insight, caveat, or question.
Björn Lundgren (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: