Linus Huang is a philosopher of cognitive science, technology, and artificial intelligence. He received his Ph.D. in History and Philosophy of Science from University of Sydney and held postdoctoral fellowships at Academia Sinica, Taiwan and University of California, San Diego. Linus’s research program explores the implications of computational cognitive neuroscience on the nature of agency and the human mind. His research has been published in Synthese, Philosophical Psychology, and Philosophy & Technology.
His dissertation, Neurodemocracy: Self-Organization of the Embodied Mind, focused on the problem of control: despite significant progress in understanding the neural mechanisms involved in specific cognitive functions, it remains unclear how these diverse neural mechanisms are coordinated to generate coherent and intelligent behaviors. His project argues that a hybrid account of control that incorporates insights from both embodied and classical cognitive architectures is the view best supported by empirical research. As an upshot, it provides an alternative perspective on self-control and implicit bias that is distinct from contemporary theories of agency.
At HKU, Linus will conduct a new research project entitled ‘Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias’. Implicit bias—when one unintentionally acts on the basis of stereotypes or prejudice concerning social identities (ethnicity, sexuality, class)—causes harm. Therefore, reducing implicit bias is a key issue in promoting social justice. Current approaches on how to intervene largely assume a dualistic framework that studies cognition detached from its bodily and environmental contexts. However, their shortcomings can be rectified by incorporating insights from embodied approaches. With this embodied perspective, we open up a large area of the solution space for promising interventions that can accelerate social progress. His project will expand AI’s potential for promoting equity, contributing to debates in philosophy of mind, psychology of implicit social cognition, and critical technology studies.
Huang, L. (2021). More dynamical and more symbiotic: Cortico-striatal models of resolve, suppression, and routine habit. Behavioral and Brain Sciences, 44, E41. doi:10.1017/S0140525X20000928