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 …

The study of algorithmically curated media environments through emulated browsing has
become a key method of computational social science. Here, we review underlying concepts …

Recent research increasingly brings to question the appropriateness of using predictive
tools in complex, real-world tasks. While a growing body of work has explored ways to …

Algorithms and models are increasingly deployed to inform decisions about people,
inevitably affecting their lives. As a consequence, those in charge of develo** these …

The increasing reliance on complex algorithmic systems by online platforms has sparked a
growing need for algorithm auditing, a research methodology evaluating these systems' …

Machine learning algorithms significantly impact decision-making in high-stakes domains,
necessitating a balance between fairness and accuracy. This study introduces an in …

The applications of Artificial Intelligence (AI) surround decisions on increasingly many
aspects of human lives. Society responds by imposing legal and social expectations for the …

Context. As software systems become more integrated into society's infrastructure, the
responsibility of software professionals to ensure compliance with various non-functional …

Using artificial intelligence (AI) systems for informing high-stakes decisions has become
increasingly pervasive in a variety of domains, including but not limited to hiring, lending, or …

With the proliferation of artificial intelligence (AI) in decision-making processes and
impending European Union (EU) legislation aiming to safeguard citizens from potential …