Testing machine learning software for ethical bias has become a pressing current concern.
In response, recent research has proposed a plethora of new fairness metrics, for example …

Due to a huge amount of scientific publications which are mostly stored as unstructured
data, complexity and workload of the fundamental process of literature reviews increase …

The accumulation of knowledge is key for any discipline, IS being no exception. With the
number of publications, theoretical constructs, and empirical findings growing, surging …

Abstract Das anhaltende Wachstum wissenschaftlicher Veröffentlichungen wirft die
Fragestellung auf, wie Literaturana-lysen im Rahmen von Forschungsprozessen digitalisiert …

Artificial intelligence (AI) is fundamentally changing our society and economy. Companies
are investing a great deal of money and time into building corresponding competences and …

The continuing growth of scientific publications raises the question how research processes
can be digitalized and thus realized more productively. Especially in information technology …

Literature review is a rigorous and lengthy process that requires a considerable amount of
time and effort from the reviewers. With the availability of services such as text mining as well …

Algorithmic discrimination in the AI software systems has become a matter of serious
concern in the machine learning and software engineering community. Prior works have …

The abundance of data from the Internet is such that web users struggle to find data relevant
to their initial problematic and find themselves drown in the data deluge. This observation is …

The accumulation of knowledge is key for any discipline, IS being no exception. With the
number of publications, theoretical constructs, and empirical findings growing, surging …