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NoBIAS teaching material at the University of Pisa

Fairness and Explainability Lectures

Two lectures (3h each) introduce the risks of big data and AI, the discovery of discrimination, the design of fair classifiers, and the topic of explainability in AI.


Statistical Methods for Data Science

A graduate course (48 hours) introducing inferential statistics for data scientists using R. Recordings of lectures available.


Contacts@UNIPI

Prof. Salvatore Ruggieri
salvatore.ruggieri@unipi.it
http://pages.di.unipi.it/ruggieri/
Ph.: +39 050 2212782

NoBIAS ITN has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 860630.