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.  At HKU, Linus conducts 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.