Value Alignment and Craft in AI Education at CHI 2026 Barcelona
The ACM CHI Conference on Human Factors in Computing Systems took place in Barcelona 13–17 April, 2026. alignAI doctoral candidate Tuan-Ting Huang attended the conference and presented a poster titled “Workmanship of Learning: Embedding Craftsmanship Values in AI-Integrated Educational Tools”, proposing a value-oriented framework for design education in the age of AI.
Understanding the Role of “AI Friends” in Children’s Sociocognitive Development
For years, the industry has focused on making models bigger. This training time scaling (Kaplan et al., 2020) made models highly fluent, similar to a student who memorised the entire textbook. But fluency is not the same as reasoning. Large language models (LLMs) still struggle with complex logic, maths or coding tasks because they respond too quickly, predicting the next word without truly thinking (McCoy et al., 2023).
From GUI to CUI: Why Evaluation Must Catch Up With the Interface Revolution
For decades, human-computer interaction was built on a comfortable assumption: people click, systems respond and the boundaries are clear. A button is a button, a menu is a menu. When things go wrong, you can often spot the missing step, the frozen cursor, the bad modal window.
Q&A with PI Andrea Cavallaro
In this video interview, we speak with Andrea Cavallaro, Professor at the École polytechnique fédérale de Lausanne. He introduces himself and his work, presents his doctoral candidates and their research, and explains what motivated him to join the alignAI project.
Exploring Responsible AI in the ELSAI Winter School
From 11-13 March 2026, Doctoral Candidates Eva Paraschou and Katerina Drakos had the pleasure to attend the Winter School on Ethical, Legal and Societal (ELS) aspects of Artificial Intelligence (AI) and Autonomous Systems (AS) at Umeå University in Sweden.
Q&A with PI Janet Huang
In this video interview, we speak with Prof. Janet Huang, Assistant Professor in Industrial Design at Eindhoven University of Technology. She introduces herself and her work, presents her doctoral candidates and their research, and explains what motivated her to join the alignAI project.
Insights from the AI in Science Summit 2025
On 3-4 November 2025, Doctoral Candidates Katerina Drakos and Eva Paraschou participated in the AI in Science Summit 2025 (AIS25) in Copenhagen, Denmark. The summit served as a premier gathering for scientists, industry leaders, investors and policymakers to discuss how AI is revolutionising scientific discovery and how Europe can spearhead this shift through a responsible, values-driven approach.
How Do LLMs Reason? The Power of Thinking Longer and Test-time Scaling
For years, the industry has focused on making models bigger. This training time scaling (Kaplan et al., 2020) made models highly fluent, similar to a student who memorised the entire textbook. But fluency is not the same as reasoning. Large language models (LLMs) still struggle with complex logic, maths or coding tasks because they respond too quickly, predicting the next word without truly thinking (McCoy et al., 2023).
Q&A with Santiago Hurtado
In this interview, we speak with Santiago Hurtado, M.Ed., research assistant and doctoral student at TUM. He discusses what drew him to alignAI, the perspective his institute contributes, and how he supports doctoral candidates while giving them room to pursue their own ideas.
Q&A with PI Nicole Lønfeldt
In this video interview, we speak with Dr. Nicole Nadine Lønfeldt, Senior Researcher at the Capital Region of Denmark. She discusses how the mental health use case within alignAI can lead to practical outcomes, reflects on supervising PhD researchers working across clinical and technical domains and shares a message for those outside academia who are concerned about the future of AI.