Elias Benussi — accepted AI-conference papers

2022

Individual Fairness Guarantees for Neural Networks

Elias Benussi, Andrea Patane', Matthew Wicker, Luca Laurenti, Marta Kwiatkowska

IJCAI 2022poster

We consider the problem of certifying the individual fairness (IF) of feed-forward neural networks (NNs). In particular, we work with the epsilon-delta-IF formulation, which, given a NN and a similarity metric learnt from data, requires that the output difference between any pair of epsilon-simila…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗

2021

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frederic A Dreyer +2

NeurIPS 2021poster

The capabilities of natural language models trained on large-scale data have increased immensely over the past few years. Open source libraries such as HuggingFace have made these models easily available and accessible. While prior research has identified biases in large language models, this paper…

Cited by 221 Source ↗PDF ↗code ↗Scholar ↗