Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

The healthcare supply chain involves the manufacturing and delivery of medicines at the
right time, at the right place, and in the correct quantity. In the world of uncertainties …

Abstract Introduction Artificial Intelligence (AI) technology have been developed significantly
in recent years. The fairness of medical AI is of great concern due to its direct relation to …

Fairness in machine learning has attracted increasing attention in recent years. The fairness
methods improving algorithmic fairness for in-distribution data may not perform well under …

In the summer of 2020, in collaboration with the Greek government, we designed and
deployed Eva—the first national-scale, reinforcement learning system for targeted COVID-19 …

We present a data-driven prescriptive framework for fair decisions, motivated by hiring. An
employer evaluates a set of applicants based on their observable attributes. The goal is to …

The increasing use of machine learning (ML) in businesses is ubiquitous in research and in
practice. Even though ML has become one of the key technologies in recent years …

In a context in which artificial intelligence (AI) assists humans, there is a growing trend to
design AI systems with more straightforward result displays. The objective of such design is …

We present a data-driven prescriptive framework for fair decisions, motivated by hiring. An
employer evaluates a set of applicants based on their observable attributes. The goal is to …

Today, there is significant interest in using electronic health record data to generate new
clinical insights for diagnosis and treatment decisions. However, there are concerns that …