Many of the scholars arriving in September work at the boundary between multiple disciplines, where innovation is most vibrant.

When called upon to complete neutral sentences, popular language models most of often use hurtful words if the subject is a woman rather than a man, and even more so if the subject is LGBTQIA+

Prof. Dirk Hovy suggests a fairer way for automatic translation systems to deal with modern pronouns and advocates technologies that adapt to the users, instead of the opposite

In her research, Debora Nozza works to ensure that machine learning tools designed to identify and remove from social media offensive language toward minorities (the so-called “hate speech”) do not end up restricting those same minorities' freedom of expression.

Expert knowledge is needed to build mathematical models of discrimination in artificial intelligence systems in order to detect it, and identify possible solutions. A workshop at the university on June, 27th.