Principal Investigators
AI Researchers
Pierre Baldi
UC Irvine
Matthew (Matt) Botvinick
Google DeepMind
Yale University
Vincent (Vince) Conitzer
Carnegie Mellon University
Mor Geva
Tel Aviv University
Michael (Mike) Mozer
Google DeepMind
University of
Colorado Boulder
Sagi Perel
Google DeepMind
Paul Riechers
Astera Institute
Fernando Rosas
University of Sussex
Cynthia Rudin
Duke University
Stuart Russell
UC Berkeley
Robert (Rob) Schapire
Microsoft
Adam Shai
Astera Institute
Lucas Teixeira
PIBBSS
Kyongsik (KS) Yun
NASA Jet Propulsion Lab
Caltech
Neuroscientists, Biologists,
and Psychologists
Uri Maoz
(Project Leader)
Chapman University
UCLA
Caltech
Aaron Schurger
(Project Co-leader)
Chapman University
Ralph Adolphs
Caltech
Thomas (Tom) Clandinin
Stanford University
Jennifer (Jen) Collinger
University of Pittsburgh
Robert (Rob) Gaunt
University of Pittsburgh
Michael Graziano
Princeton University
Patrick Haggard
University College London
John-Dylan Haynes
Charité
Hillard (Hilly) Kaplan
Chapman University
Gabriel Kreiman
Harvard University
Anna Leshinskaya
UC Irvine
Michael Levin
Tufts University
Liad Mudrik
Tel Aviv University
William (Bill) Newsome
Stanford University
Philosophers
Colin Allen
UC Santa Barbara
Michael Bratman
Stanford University
Rosa Cao
Stanford University
Colin Doyle
Loyola Marymount University
Frederick Eberhardt
Caltech
Pamela Hieronymi
UCLA
Thomas Icard
Stanford University
Ketan Ramakrishnan
Yale University
Adina Roskies
UC Santa Barbara
Lauren Ross
UC Irvine
Michael Serota
Loyola Marymount University
Scott Shapiro
Yale University
Walter Sinnott-Armstrong
Duke University
Gideon Yaffe
Yale University
Early-Career Collaborators
Dimitri Bredikhin
Chapman University
Dimitri’s research investigates the mechanisms linking neural dynamics to perceptual decisions and conscious access, offering a biologically grounded computational account of perception that may inform AI research and development.
Shaozhe Cheng
UCLA & Duke University
Shaozhe is interested in the distinctive nature and origins of the human mind and intelligence, focusing on the social, cognitive, developmental, and computational foundations of uniquely human agentic structures and their significance in social coordination, with the goal of advancing more human-like and human-compatible AI systems.
🔗 Website
Alejandro de Miguel
Chapman University
Alejandro develops machine learning methods for asynchronous brain–computer interfaces to decode intentions and predict voluntary movement.
Tomáš Dominik
Chapman University
Tomáš uses techniques from psychology and neuroscience to study intentions, volition, and consciousness in humans and AI systems.
Daniel Friedman
Purdue University
Daniel works on questions about the nature and norms governing shared inquiry.
🔗 Website
Lee Hristienko
UC Santa Barbara
Lee is interested in artificial moral agents, what they could and ought to be like, and how moral theory contributes to these questions.
Lucas Jeay-Bizot
Chapman University
Lucas’ research interests lie in the neuroscience of volition, with a focus on how and when intentions and self-initiated decisions are formed in the brain.
Stipe Pandžić
University of Milan
Stipe’s research focuses on logical systems for AI and uncertain reasoning, with an interest in formalizing intention formation and intention detection.
🔗 Website
Paulius Rimkevičius
Vilnius University
Paulius’ area of specialisation is philosophy of cognitive science, including philosophy of artificial intelligence, and especially questions related to self-knowledge and free will.
Paul Talma
UCLA
Paul investigates the structure of action representations in natural and artificial agents.
Iwan Williams
Center for Philosophy of Artificial Intelligence (CPAI), University of Copenhagen
Iwan is a philosopher of mind and artificial intelligence, focusing on the representational capacities of large language models.
🔗 Website