The Laboratory for Human-Centered AI

Ji-Hae Park is an internationally active classical concert violinist, AI performance creator, director of XR Concert Hall and Special Professor at GIST’s Graduate School of AI Policy and Strategy.

Working across live performance, generative AI, XR and immersive concert production, she explores how human intention, artistic agency and embodied practice shape the meaning and value of AI-mediated creation. Because her research is grounded in ongoing performance activity in Korea and abroad, the stage itself serves as a living site of experiment, where she investigates human contribution, creative responsibility and the conditions under which outputs come to be recognised as works.

Philipp has been on the Faculty at the University of Oxford for 11 years. He founded HAI Lab in 2024 and became the inaugural McCord Professor of Philosophy and AI.

He previously held fellowships at the University of Notre Dame, and Washington University in St. Louis. He was first recipient of a joint PhD in Philosophy and Neuroscience from Princeton University. His research interests focus on bringing philosophy into tech, specifically around the concepts of reason and agency, and bringing AI into the service of human flourishing. He is a Fellow by Special Election at St. Catherine’s College.

View Philipp’s personal website here

Peter is a Senior Software Engineer at Google DeepMind, where he leads zero-to-one development for Gemini.

Peter’s work there has shipped as Gemini Canvas and Gemini Agent, and he co-created Little PAIPer with Peter Norvig — a Socratic dialogue-based learning platform for AI education. Earlier at Google, he developed the fundamental reasoning loop for tool-calling in Bard, launching Bard Extensions to 1.8 million daily active users.

At HAI Lab, he works with HAI Lab Director Professor Philipp Koralus and Professor Edward Harcourt MBE, Director of the Institute for Ethics in AI, on an adaptive learning system to supplement the Oxonian tutorial relationship, investigating whether LLMs are capable of goal-directed, truth-seeking collaborative inquiry — and whether they can ask the right questions to help people reason through their own philosophical positions.

Peter studied Computer Science, Philosophy, Comparative Literature, and Classics across the University of Southern California, Harvard and Albert-Ludwigs-Universität Freiburg.

Jules holds an MA in Physics and Philosophy from the University of Oxford (Double First Class, ranked 2nd overall, Gibbs Prize) and a BPhil in Philosophy.

Jules gained work experience in the start-up and VC worlds before coming back to Oxford. His research interests include geometric ML, sparse LLMs, and the role of dialogue in philosophy. He also has active projects in electronic music.

Mathew is an artist renowned for his work in machine learning. He previously founded the public AI data organization Spawning, and has recently held major solo exhibitions at Serpentine Gallery London, KW Institute Berlin, and the Whitney Biennial. 

Tobias Halloran is currently a Director at NVIDIA. He leads their startup ecosystem business for EMEA.

He previously studied at the Univeristy of Oxford as an undergraduate where he received a first class degree. His research interests focus on the intersection of Philosophy and AI, specifically in the possibilities and limitations of programatic ethical decisioning in LLMs leveraging associative memory and the potential of moral models for frontier research labs.

View Tobias’s personal website here: tobiashalloran.com

Ryan holds a BS in Computer Science (Distinction) and a BAH in Philosophy (Distinction) from Stanford University.

He was Founding Data Scientist at Monte Carlo Data in NYC, with 200+ enterprise customers and a $1.6b valuation. He previously worked as Research Intern at the Stanford Open Virtual Assistant Lab. Most recently, he was Founder in Residence at Entrepreneur First in London. His research interests include reasoning, decentralization, and contextual trust.

Joel was previously an AI researcher at OpenAI and Uber AI Labs, and a tenure-track professor at the University of Copenhagen. His interests are in the intersection of machine learning and moral philosophy as well as the topics of AI safety, evolutionary algorithms, and open-ended machine.

Victor holds an MA in Logic and Philosophy of Science (Distinction) from the Munich Center for Mathematical Philosophy. He previously studied philosophy and mathematics at the University of Iceland, the University of Wisconsin-Madison and National Taiwan University.

Victor is a special advisor at the VR labour union in Iceland, where he focuses on research and policy concerning the future of work. He previously worked as a researcher at the University of Iceland’s Centre for Ethics, where he co-authored a report on the government’s response to the COVID-19 pandemic.

His research interests include democratic theory, trust in experts, and the use of AI in politics.

Ayush is a Rhodes Scholar, D.Phil. student in Engineering Science in the Computational Health Informatics Lab, and visiting PhD student in the Zitnik Lab at Harvard Medical School. He is motivated by personal experiences, seeking to develop AI technologies that advance the understanding, diagnosis, and treatment of neurological disorders and other challenging medical conditions. His research efforts have produced over 40 papers (including 14 first or co-first author works) published in Cell, Nature Neuroscience, Nature Machine Intelligence, Nature Aging, npj Digital Medicine, Alzheimer’s & Dementia, and other peer-reviewed journals. Ayush received a Bachelor’s in Computer Science and Neuroscience and a concurrent Master’s in Computer Science from Harvard University, where he was a John Harvard Scholar, received the Frothingham Scholarship, and was elected to Phi Beta Kappa.

Tianyi does empirical and theoretical machine learning research on “what the heck to align AIs to when alignment itself is a self-fulfilling prophecy”. Right now, he is trying to operationalize reflective equilibrium in human-AI interaction as a solution concept. He is interested in moral progress in humans and the emergence of normativity in models. His prior research on related topics has received distinctions such as the Best Paper Award from the Association for Computational Linguistics.
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Marco Ragni is Professor for Predictive Behavioral Analysis at Chemnitz University of Technology, Germany, and Scientific Director of the Central Research Unit “Humans and Technology.” His research in predictive behavioral analytics integrates cognitive theory, computational modeling, and artificial intelligence to explain—and predict on an individual level —human reasoning and decision making.

He holds two PhDs from the University of Freiburg, in Computer Science and Cognitive Science. He completed habilitations with Venia Legendi in Computer Science, Cognitive Science, and Cognitive Psychology and Psychological Methods. He is a former DFG Heisenberg Fellow for research on a neurocognitive theory of deductive reasoning, and has been a Fellow of the Danish Institute of Advanced Studies at the University of Southern Denmark, where he remains an external member.

Isaac is a PhD student at the University of Oxford, where he specializes in reinforcement learning, cooperative AI, and algorithmic game theory. He holds a joint bachelor’s degree in Mathematics and Computer Science from Harvard University. Isaac’s work is driven by a deep interest in the technical, political, and philosophical challenges posed by large-scale AI systems.

Vincent is now research scientist at Quantinuum, a start-up scaling quantum computing.

He specializes in AI and cognitive science, with a particular focus on applied category theory, reasoning, formal linguistics, and AI explainability. He holds a DPhil in Computer Science from the University of Oxford and has contributed to numerous academic papers, often exploring the intersection of language and machine learning. Vincent is involved in projects that investigate how AI models can better align with human common sense and reasoning.

Bonny is an information specialist and graphic designer with extensive experience in communications, knowledge management and knowledge translation.

She is the founding member of ITL Communication & Design, an international Communications business. She has worked on projects for the NHS and University of Oxford in the UK, and global organisations including UN agencies, government departments and universities in more than 16 countries on more than 2000 projects. She is passionate about the management, accessibility and presentation of information, and especially making complex research understandable to a broad audience.