9 citations · 9 across the 2 of their papers we have counts for
3 papers · 1 filter
Wikistat 2.0: Educational Resources for Artificial Intelligence
Philippe Besse, Brendan Guillouet, Béatrice Laurent
Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of o…
Can everyday AI be ethical. Fairness of Machine Learning Algorithms
Philippe Besse, Celine Castets-Renard, Aurelien Garivier +1
Combining big data and machine learning algorithms, the power of automatic decision tools induces as much hope as fear. Many recently enacted European legislation (GDPR) and French…
Confidence Intervals for Testing Disparate Impact in Fair Learning
Philippe Besse, Eustasio del Barrio, Paula Gordaliza +1
We provide the asymptotic distribution of the major indexes used in the statistical literature to quantify disparate treatment in machine learning. We aim at promoting the use of c…