Many organizations have published principles intended to guide the ethical development
and deployment of AI systems; however, their abstract nature makes them difficult to …

Cognitive bias is increasingly recognised as an important source of medical error, and is
both ubiquitous across clinical practice yet incompletely understood. This increasing …

Recent years have seen the development of many open-source ML fairness toolkits aimed
at helping ML practitioners assess and address unfairness in their systems. However, there …

Scholars and advocates have proposed algorithmic impact assessments (" AIAs") as a
regulatory strategy for addressing and correcting algorithmic harms. An AIA-based …

OBJECTIVE. In this article, we describe some of the cognitive and system-based sources of
detection and interpretation errors in diagnostic radiology and discuss potential approaches …

A few years after Google announced that their 'Knowledge Graph'would have allowed
searching for things, not strings, 1 knowledge graphs start entering information retrieval …

Objective: A systematic literature review was conducted to assess the effectiveness of,
compliance with, and critical factors for the implementation of safety checklists in surgery …

Summary Judgment and decision making researchers have produced many insights to
improve the capacity to decide. Decades of research have yielded an array of debiasing …

After reviewing the evidence regarding the general effectiveness of hot spots policing (what
we know), we focus on areas where new knowledge must be developed (what we need to …

This article describes the development and field testing of the Rural Resilience Index (RRI),
an applied disaster resilience assessment index for use in rural and remote communities …