Artificial Intelligence has the potential to exacerbate societal bias and set back decades of
advances in equal rights and civil liberty. Data used to train machine learning algorithms …

The emergence and increasing use of artificial intelligence and machine learning (AI/ML) in
healthcare practice and delivery is being greeted with both optimism and caution. We focus …

Advances in computer science and data-analytic methods are driving a new era in mental
health research and application. Artificial intelligence (AI) technologies hold the potential to …

“AI as a Service”(AIaaS) is a rapidly growing market, offering various plug-and-play AI
services and tools. AIaaS enables its customers (users)—who may lack the expertise, data …

Population and public health are in the midst of an artificial intelligence revolution capable of
radically altering existing models of care delivery and practice. Just as AI seeks to mirror …

Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …

Over the past few years, machine learning and AI have become increasingly common in
human resources (HR) applications, such as candidate screening, resume parsing, and …

One of the difficulties of artificial intelligence is to ensure that model decisions are fair and
free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and …

Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions
that have far‐reaching impact on individuals and society. Their decisions might affect …

The ethical implications and social impacts of artificial intelligence have become topics of
compelling interest to industry, researchers in academia, and the public. However, current …