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Prof. HUANG Ta-Lun Linus

Prof. HUANG Ta-Lun Linus

Vice-Chancellor Assistant Professor

Ph.D. History and Philosophy of Science, University of Sydney
M.A. Philosophy, University of California, Riverside
M.S. Cognitive Neuroscience, National Yang Ming University

About Prof. HUANG Ta-Lun Linus

Linus HUANG is a philosopher of cognitive science, technology, and artificial intelligence. He received his Ph.D. in History and Philosophy of Science from the University of Sydney and was a 2024 StarTrack Scholar at the Social Computing Lab, Microsoft Research Asia. His research explores issues in AI ethics and philosophy of cognitive science through the lens of embodied cognition, drawing on resources from philosophy, cognitive neuroscience, and computational science. He investigates methods for reducing bias in humans and AI, aligning AI with human values in a multicultural world, and the implications of computational neuroscience for understanding the human mind. Linus is co-author of Philosophy of Neuroscience (Cambridge University Press, 2022) with William Bechtel.

 

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  • Research Interests
    • AI Ethics
    • Philosophy of Cognitive Science
    • Human-AI Interaction
    • Implicit Bias
    • Algorithmic Bias
    • Value Alignment
    • Cultural Hegemony
    • Embodied Cognition
    • Gender Studies
  • Recent Research ProjectS
    • 2027-2029 From Minds to Machines: Architecture of Control for AI Agents, RGC ECS.
    • 2023-2025  Principal Investigator, Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias, RGC GRF.
  • Representative Publications
    Books
    • 2022    Bechtel, W., & Huang, L. T. Philosophy of Neuroscience. Cambridge: Cambridge University Press.
    Refereed Journal Articles
    1. 2026    Huang, L. T., Lin, Y.-T., & Sechman, M. Debiasing Interventions for the Age of AI: Design Principles from 4E Memory Systems and Intergroup Contact Theory. Review of Philosophy and Psychology.
    2. 2026    Lin, T.-A., & Huang, L. T.* AI, Normality, and Oppressive Things. Minds and Machines, 36(2), 26. (* corresponding author).
    3. 2025    Huang, L. T., Hung, T.-W., & Lin, Y.-T. The Dynamics of Personal Autonomy: A Comprehensive Framework for Evaluating Human-Carebot Interactions. Asian Journal of Philosophy.
    4. 2025    Huang, L. T., Huang, T.-R. Generative Bias: Widespread, Unexpected, and Uninterpretable Biases in Generative Models and Their Implications. AI & Society.
    5. 2025    Sechman, M., & Huang, L. T. Towards a Mechanistic Account of Embodied Implicit Bias: Heterarchical Control Network and Its Implications for Intervention. Topoi: An International Review of Philosophy.
    6. 2024    Huang, L. T., Papyshev, G, & Wong, J. Democratizing Value Alignment: From Authoritarian to Democratic AI Ethics. AI and Ethics.           
    7. 2022    Huang, L. T., Chen, H.-Y., Lin, Y.-T., Huang, T.-R., Hung, T.-W. Ameliorating Algorithmic Bias, or Why Explainable AI Needs Feminist Philosophy. Feminist Philosophy Quarterly.
    8. 2021    Chen, H.-Y., Yu, L.-A., & Huang, L. T. To Mask or Not to Mask: Epistemic Injustice in the COVID-19 Pandemics. Techné: Research in Philosophy and Technology. 
    9. 2021    Huang, L. T. More Dynamical and More Symbiotic: Cortico-Striatal Models of Resolve, Suppression, and Routine Habit. Behavioral and Brain Sciences.
    10. 2021    Huang, L. T., Bich, L, & Bechtel, W. Model Organisms for Studying Decision-Making: A Phylogenetically Expanded Perspective. Philosophy of Science.
    11. 2021    Huang, L. T. Can massive modularity explain human intelligence? Information control problem and implications for cognitive architecture. Synthese.
    12. 2020    Lin, Y.-T., Hung, T.-W., & Huang, L. T. Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias. Philosophy & Technology.  
    13. 2020    Carruthers, G., Carls-Diamante, S., Huang L. T., Rosen, M., & Schier, E. How to operationalise consciousness. Australian Journal of Psychology, 71(4), 390-410.
    14. 2018    Schwitzgebel, E., Huang, L. T., Higgins, A., & Gonzalez-Cabrera, I. The insularity of Anglophone philosophy. Philosophical Papers, 47(1), 21-48.
    15. 2012    Schwitzgebel, E., Rust, J., Huang, L. T., Moore, A. T., & Coates, J. Ethicists’ courtesy at philosophy conferences. Philosophical Psychology, 25(3), 331–340.
    Refereed Conference Proceedings
    1. 2026    Biedma, P., Yi, X., Huang, L. T., Sun, M., & Xie, X. ValueLex: Revealing the Value Structures of Large Language Models. In Y. Chen, C. Rahal, X. Fu, J.-D. Luo, J. Evans, & X.-X. Zhan (Eds.), Social Computing – 6th International Conference, ICSC 2025, Revised Selected Papers (pp. 64-77). Communications in Computer and Information Science, vol. 2909. Springer. (Best Paper Award)
    2. 2020    Huang, L. T., & Bechtel, W. A Phylogenetic Perspective on Distributed Decision-Making Mechanisms. In Proceedings of the 42th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    3. 2020    Bechtel, W., & Huang, L. T. Decentering Cognition. In Proceedings of the 42th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    4. 2015    Huang, L. T. Reconceptualizing the computational problem of response selection. In Proceedings of the 10th Conference of the Australasian Society of Cognitive Science. Melbourne: Australasian Society of Cognitive Science.
    5. 2014    Huang, L. T. The nativist input problem. In Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
  • OTHER PROJECTS, ACHIEVEMENTS, AND/OR AWARDS
    1. 2026  Honorary Visiting Fellowship, Institute of Philosophy, School of Advanced Study, University of London
    2. 2025    Best Papers Award, AAAI/ACM Conference on AI, Ethics, and Society
    3. 2025    Best Papers Award, 6th International Conference on Social Computing (ICSC)
    4. 2025  Senior Research Fellowship, Centre for Philosophy of AI Research, Friedrich-Alexander University
    5. 2024    StarTrack Scholars Fellowship, Microsoft Research Asia
    6. 2021    Short-Term Research Fellowship, Alexander von Humboldt Institute for Internet and Society