Algorithmic decision-making systems (ADMS) are increasingly being used by public and
private organizations to enact decisions traditionally made by human beings across a broad …

Making good decisions in extremely complex and difficult processes and situations has
always been both a key task as well as a challenge in the clinic and has led to a large …

It is widely recognized that nanoscience and nanotechnology and their subfields, such as
nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on …

By the early 2020s, emotional artificial intelligence (emotional AI) will become increasingly
present in everyday objects and practices such as assistants, cars, games, mobile phones …

Smart home technologies refer to devices that provide some degree of digitally connected or
enhanced services to occupants. Smart homes have become central in recent technology …

The introduction of the General Data Protection Regulation (GDPR) in 2018 served as the
cornerstone of the new data governance regime of the European Union. Informed by …

Data analytics and data-driven approaches in Machine Learning are now among the most
hailed computing technologies in many industrial domains. One major application is …

Background: Digital phenotyping (also known as personal sensing, intelligent sensing, or
body computing) involves the collection of biometric and personal data in situ from digital …

In this article, we provide an overview of the literature on chilling effects and corporate
profiling, while also connecting the two topics. We start by explaining how profiling, in an …

Despite years of heavy criticism, privacy self-management (ie, the principle that people
individually manage their privacy via notice and choice) remains the standard of privacy …