Many online content providers use “personalization” algorithms to generate recommendations that are individually fine-tuned for users’ interests. However, these algorithms have also been criticized because tailoring content to specific users necessarily restricts the diversity of content, leading to reinforcement of … Continued
We paraphrase Descartes’ famous dictum in the area of AI ethics where the “I doubt and therefore I am” is suggested as a necessary aspect of morality. Therefore AI, which cannot doubt itself, cannot possess moral agency. Of course, this … Continued
Statistical literacy is critically underappreciated across scientific disciplines, and is not part of the training in graduate programs even when “statistics” or “statistical methods” are. It is common to teach “introductory statistics” courses to promote engagement with key concepts and … Continued
Surveys are a widespread method for collecting data at scale, but their rigid structure often limits the depth of qualitative insights obtained. While interviews naturally yield richer responses, they are challenging to conduct across diverse locations and large participant pools. … Continued
Trust plays a fundamental role in shaping the willingness of users to engage and collaborate with artificial intelligence (AI) systems. Yet, measuring user trust remains challenging due to its complex and dynamic nature. While traditional survey methods provide trust levels … Continued
Cognitive augmentation is a cornerstone in advancing education, particularly through personalized learning. However, personalizing extensive textual materials, such as narratives and academic textbooks, remains challenging due to their heavy use, which can hinder learner engagement and understanding. Building on cognitive … Continued
The effect of large language models (LLMs) in education is debated: Previous research shows that LLMs can help as well as hurt learning. In two pre-registered and incentivized laboratory experiments, we find no effect of LLMs on overall learning outcomes. … Continued
As generative artificial intelligence (genAI) becomes increasingly integrated into education and work, understanding who benefits most from human-AI collaboration is crucial. This study examines how domain expertise and individual differences—creative self-efficacy and baseline creative ability—influence human-AI co-creativity in an engineering … Continued
The benefits of digitalisation have been widely embraced, but little is known about one of its downsides, the gradual erosion of human interaction from our lives. What are the psycho-social implications of this? Do people value human contact, and do … Continued
As large language models (LLMs) become more capable and agentic, the requirement for trust in their outputs grows significantly, yet at the same time concerns have been mounting that models may learn to lie in pursuit of their goals. To … Continued