DEMV is a Debiaser for Multiple Variables that aims to increase Fairness in any given dataset, both binary and categorical, with one or more sensitive variables, while keeping...

This dataset contains the result of a systematic mapping study conducted to analyse how the issue of gender bias in academic promotions has been addressed by the literature....

The dataset is a synthetic version of the well-known German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data). It includes variables such as...

MANILA is a low-code web application to support the specification and execution of machine learning fairness evaluations. In particular, through MANILA it is possible to...

This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...

Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. In our work, we conducted a series of experiments designed to...

A suite of methods for explainable AI for different Ai models

This resource is a segregation discovery method from both tabular and social network data.

This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...

The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...