An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …

Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates
systemic discrimination in automated decision‐making, providing opportunities to improve …

The enormous financial success of online advertising platforms is partially due to the precise
targeting features they offer. Although researchers and journalists have found many ways …

Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …

Multiple studies have provided evidence that the hospitality and tourism sector is
experiencing a growing reliance on information and communication technology (ICT) …

Decision-making systems increasingly orchestrate our world: how to intervene on the
algorithmic components to build fair and equitable systems is therefore a question of utmost …

Recommender systems are facing scrutiny because of their growing impact on the
opportunities we have access to. Current audits for fairness are limited to coarse-grained …

In the last decade or so, fairness in AI has received widespread attention, both within the
scientific community and the general media. Researchers have made significant progress …

While interest in the application of machine learning to improve healthcare has grown
tremendously in recent years, a number of barriers prevent deployment in medical practice …

Abstract Machine learning models are often personalized with categorical attributes that
define groups. In this work, we show that personalization with group attributes can …