Ambulatory monitoring devices are enabling a new paradigm of health care by collecting
and analyzing long-term data for reliable diagnostics. These devices are becoming …

This paper offers a critical review on conditions and impacts of AI/ML in society, with a
dedicated overview of the European AI policy framework. Through the analysis of policy …

Research on the ethics of algorithms has grown substantially over the past decade.
Alongside the exponential development and application of machine learning algorithms …

Abstract Acceptance of Artificial Intelligence (AI) may be predicted by individual
psychological correlates, examined here. Study 1 reports confirmatory validation of the …

Recent work on interpretability in machine learning and AI has focused on the building of
simplified models that approximate the true criteria used to make decisions. These models …

In recent years a substantial literature has emerged concerning bias, discrimination, and
fairness in artificial intelligence (AI) and machine learning. Connecting this work to existing …

Artificial intelligence (AI) is becoming increasingly important in all domains of life. Therefore,
it is crucial to understand individuals' attitudes towards AI. This article investigated attitudes …

A new General Attitudes towards Artificial Intelligence Scale (GAAIS) was developed. The
scale underwent initial statistical validation via Exploratory Factor Analysis, which identified …

Word embeddings are a widely used set of natural language processing techniques that
map words to vectors of real numbers. These vectors are used to improve the quality of …

Ecologists have long suspected that species are more likely to interact if their traits match in
a particular way. For example, a pollination interaction may be more likely if the proportions …