8 citations · 14 across the 2 of their papers we have counts for
5 papers
Active Fairness Instead of Unawareness
Boris Ruf, Marcin Detyniecki
The possible risk that AI systems could promote discrimination by reproducing and enforcing unwanted bias in data has been broadly discussed in research and society. Many current l…
Getting Fairness Right: Towards a Toolbox for Practitioners
Boris Ruf, Chaouki Boutharouite, Marcin Detyniecki
The potential risk of AI systems unintentionally embedding and reproducing bias has attracted the attention of machine learning practitioners and society at large. As policy makers…
Fair Adversarial Gradient Tree Boosting
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
Fair classification has become an important topic in machine learning research. While most bias mitigation strategies focus on neural networks, we noticed a lack of work on fair cl…
Fairness-Aware Neural Réyni Minimization for Continuous Features
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
The past few years have seen a dramatic rise of academic and societal interest in fair machine learning. While plenty of fair algorithms have been proposed recently to tackle this…
Contract Statements Knowledge Service for Chatbots
Boris Ruf, Matteo Sammarco, Marcin Detyniecki
Towards conversational agents that are capable of handling more complex questions on contractual conditions, formalizing contract statements in a machine readable way is crucial. H…