Stereotypes, bias, and discrimination have been extensively documented in Machine
Learning (ML) methods such as Computer Vision (CV)[18, 80], Natural Language …

Background While the theoretical benefits and harms of Artificial Intelligence (AI) have been
widely discussed in academic literature, empirical evidence remains elusive regarding the …

In the past few years, the ethical ramifications of AI technologies (in particular data science)
have been at the center of intense debates. Considerable attention has been devoted to …

This article examines the impact of smart environments on society from a software
engineering design perspective. Smart environments create significant design challenges …

Numerous methods and tools have been proposed to motivate or support ethical awareness
in design practice. However, many existing resources are not easily discoverable by …

Big Data and Artificial Intelligence have a symbiotic relationship. Artificial Intelligence needs
to be trained on Big Data to be accurate, and Big Data's value is largely realized through its …

While the demand for ethical artificial intelligence (AI) systems increases, the number of
unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We …

This article focuses on the structural aspects of the development of ethical software, and
argues that ethical considerations need to be embedded into the (agile) software …

With current developments in robotics and artificial intelligence (AI) comes an increased
focus on the ethical production and use of such novel technologies. Accordingly, a trend …

Technological advances and the “zeitgeist” led to increased use of AI in HR Analytics. Using
machine learning models in this field might be beneficial but requires some unique …