Data-driven algorithms are studied and deployed in diverse domains to support critical
decisions, directly impacting people's well-being. As a result, a growing community of …

A growing community of researchers has been investigating the equity of algorithms,
advancing the understanding of risks and opportunities of automated decision-making for …

Automated decision-making systems are massively engaged in different types of
businesses, including customer-oriented sectors, and bring countless achievements in …

Prior work on fairness in machine learning has focused on settings where all the information
needed about each individual is readily available. However, in many applications, further …

The assignment of social programmes to their target population, known as targeting, is key
to effective policy implementation. Proxy means testing is a widely used targeting approach …

In order for VASPs to fulfill the regulatory requirements from the FATF and the Travel Rule,
VASPs need truthful information regarding subjects, such as originators, beneficiaries and …

Questa tesi supporta la misurazione dell'equità algoritmica da una prospettiva incentrata sui
dati. In primo luogo, affrontiamo il problema della selezione dei dataset, evidenziando le …

The assignment of social programmes to their target population, known as targeting, is key
to effective policy implementation. Proxy means testing (PMT) is the most widely used …

The last five years have seen a vast increase in academic and popular interest in" fair"
machine learning. But while the community has made significant progress towards …