Albert Barqué-Duran, PhD, is a cognitive scientist, AI researcher, and polymath whose work explores the future of human cognition, identity, and ethics in interaction with intelligent systems. He is currently a Research Scientist at the Interactive Arts & Science Laboratory (IASlab) at La Salle – Universitat Ramon Llull (Barcelona), where he also leads the Graduate Programe and the MSc in Digital Arts and Creative Technologies. With over 15 peer-reviewed publications in leading journals his research combines computational cognitive science, experimental human-algorithm interactions and critical AI studies to investigate machine intelligence, ethical agency, and the epistemological implications of human-AGI co-adaptation. Albert holds a PhD in Cognitive Science from the Centre for Mathematical Neuroscience at City St George’s, University of London, with postdoctoral and visiting research appointments at the Moral Cognition Lab (Harvard University) and the Uehiro Centre for Practical Ethics (University of Oxford). His academic trajectory has focused on probabilistic reasoning, quantum cognition, decision theory, and moral psychology—providing theoretical and experimental insights into the architectures of human and artificial decision-making. In recent years, Albert has developed novel frameworks for closed-loop brain–AI interaction systems, integrating BCIs, LLMs, and generative AI architectures. His current work addresses critical questions at the intersection of algorithmic influence, aesthetic cognition, and the future of neuro-rights and synthetic intelligence. Albert’s research outputs have been presented at leading cognitive science venues, AI–art symposia, museums, festivals and bienales worldwide (e.g., NeurIPS, Ars Electronica, Sónar, ISEA, MUTEK), and recognized by awards from the EU’s “We Are Europe” initiative (which endowed him as one of the most impactful "Culture Activists" in Europe), Art of Neuroscience, the Romaeuropa Digitalive Prize, the ‘FUTURES’ LUMEN Prize Award, among others. He is committed to building speculative cognitive architectures and value systems, the epistemology of black-box cognition, frameworks for long-term alignment and interpretability, and trajectories toward ASI.