- Fairness and Explainability Lectures, University of Pisa, Italy, Prof. Dr. Salvatore Ruggieri
- 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.
- (De)constructing ethics and bias in scientific literature: The Moral Machine experiment as a case study, Katholieke Universiteit Leuven, Prof. Dr. Bettina Berend
- Questions on Explainable AI, University of Southampton, Carlos Mougan
Artificial Intelligence without Bias
NoBIAS
