As automated decision making and decision assistance systems become common in
everyday life, research on the prevention or mitigation of potential harms that arise from …

This paper examines racial discrimination and algorithmic bias in predictive policing
algorithms (PPAs), an emerging technology designed to predict threats and suggest …

Foundation models (FMs) are a new paradigm in AI. First pretrained on broad data at
immense scale and subsequently adapted to more specific tasks, they achieve high …

This paper presents a novel approach to active learning that takes into account the non-
independent and identically distributed (non-iid) structure of a clinical trial setting. There …

When comparing the performance of multi-armed bandit algorithms, the potential impact of
missing data is often overlooked. In practice, it also affects their implementation where the …

In drug development, early phase dose-finding clinical trials are carried out to identify an
optimal dose to administer to patients in larger confirmatory clinical trials. Standard trial …

Over the years, significant research has been conducted to enhance Artificial Intelligence
(AI), which is already widely used in various life and industry sectors. In 2020 and 2021, the …