With the rapid adoption of online shopping, academic research in the eCommerce domain
has gained traction. However, significant research challenges remain, spanning from classic …

Artificial intelligence and algorithmic decision-making processes are increasingly criticized
for their black-box nature. Explainable AI approaches to trace human-interpretable decision …

Data-driven decision-making consequential to individuals raises important questions of
accountability and justice. Indeed, European law provides individuals limited rights …

News recommender systems (NRS) are becoming a ubiquitous part of the digital media
landscape. Particularly in the realm of political news, the adoption of NRS can significantly …

The deployment of various forms of AI, most notably of machine learning algorithms,
radically transforms many domains of social life. In this paper we focus on the news industry …

Recently, requirements for the explainability of software systems have gained prominence.
One of the primary motivators for such requirements is that explainability is expected to …

Combating fake news and misinformation propagation is a challenging task in the post-truth
era. News feed and search algorithms could potentially lead to unintentional large-scale …

In various business settings, there is an interest in using more complex machine learning
techniques for sales forecasting. It is difficult to convince analysts, along with their superiors …

Growing concern about the democratic impact of automatically curated news platforms urges
us to reconsider how such platforms should be designed. We propose a theoretical …

Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems
is the human factor. Humans play an essential role in designing, developing, and …