One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …

Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform …

From the article: The ethics guidelines put forward by the AI High Level Expert Group (AI-HLEG) present a list of seven key requirements that Human-centered, trustworthy AI systems should meet. These guidelines are useful for the evaluation of AI systems, but can be complemented by applied methods and …

Privacy by design is a widely acknowledged necessity, yet its practice is still in its infancy. Many scholars have argued that privacy by design requires a cross-disciplinary approach in which privacy perspectives from different disciplines need to be integrated from the beginning of the design process. …

From the article: "Most technical studies require and assume from the students a certain knowledge of mathematics. In this paper an experiment is described where students, starting with a study of ICT at a bachelor level, are performing a very short test in mathematics to measure their knowledge. The …

Presented at the 11th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer Lviv, Ukraine, May 14-16, 2015. Author supplied: Abstract. User requirements and low-cost small quantity production are new challenges for the …