Daniel Whelan – Shamy

    PhD Student

    This thesis seeks to understand how imitation works as an integral function of Generative AI technologies and their machine learning architectures.

    • Thesis title: On the Imitative Logics of Generative Artificial Intelligence and Machine Learning Architectures: Simulation, Mimesis, Power.
      • Principal supervisor: Associate Professor  Timothy Graham
      • Associate supervisor: Professor Daniel Angus
      • Associate supervisor: Dr. Ben Nicoll