Astonishing progress is being made in the field of artificial intelligence (AI) and particularly in
machine learning (ML). Novel approaches of deep learning are promising to even boost the …

From the earliest days of artificial intelligence (AI), its definition focused on how its results
appear to show intelligence, rather than the methods that are used to achieve it. Since then …

The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes
and ambitious goals the field progressed through various stages of popularity and has …

The increasing use of AI in different societal contexts intensified the debate on risks, ethical
problems and bias. Accordingly, promising research activities focus on debiasing to …

We are repeatedly told that AI will help us to solve some of the world's biggest challenges,
from treating chronic diseases and reducing fatality rates in traffic accidents to fighting …

In October 2016, the US National Science and Technology Council published a report on
Artificial Intelligence (AI)(United States 2016) that summarised evidence from a wide variety …

Today, devices and applications powered by artificial intelligence (AI) include modes of
transportation, home appliances, and mobile applications; in short, they are ubiquitous …

This essay argues that a new subfield of AI governance should be explored that examines
the policy-making process and its implications for AI governance. A growing number of …

Machine learning (ML) algorithms are still a novel research object in the field of media
studies. While existing research focuses on concrete software on the one hand and the …

It is increasingly recognised that advances in artificial intelligence could have large and long-
lasting impacts on society. However, what form those impacts will take, just how large and …