Algorithmic curation is a helpful solution for the massive amount of content on the web. The term is used to describe how platforms automate the recommendation of content to users. News outlets, social networks and search engines widely use recommendation systems. Such automation has led to worries about …

The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical …

Explainable artificial intelligence (xAI) is seen as a solution to making AI systems less of a “black box”. It is essential to ensure transparency, fairness, and accountability – which are especially paramount in the financial sector. The aim of this study was a preliminary investigation of the perspectives …

Social robots are reported to hold great potential for education. However, both scholars and key stakeholders worry about children’s social-emotional development being compromised. In aiming to provide new insights into the impact that social robots can have on the social-emotional development of children, …

The use of algorithmic tools by journalists for information-gathering has received particular attention in recent years. While it might facilitate the research process, there are also concerns about their impact on journalism. Based on reconstruction interviews with 27 journalists, we first answer the …

Founded in 2014, Dashmote was a rapidly growing and globally operating Software as a Service (SaaS) company based on its Artificial Intelligence (AI), natural language processing and visual recognition technologies. The founders aimed to guide people toward success in an AI and data-driven world by improving …

We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

Using AI to Prioritize Static Analysis FindingsIntroducing static code analysis tools into the development process can be difficult, with an overwhelming number of standards, rules, and practices to navigate. This can make the adoption of static analysis challenging, as unoptimized configurations can …

The increasing interest and discussion on the topic of AI as well as the Netherlands’ high degree of digitalization incited research on the topic. The goal of this study is to evaluate the current applications and use of AI as well as identifying predictive factors in its lower-than-expected adoption. To …

Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual …