Simon Taylor is an Affiliate of the ARC Centre of Excellence for Automated Decision-Making & Society (ADM+S) from the Australian National University.
Simon is a final-year PhD candidate at UNSW Sydney and a 2022-23 Visiting Fellow at RegNet School of Regulation and Global Governance ANU. His dissertation uses a subset of STS scholarship in infrastructure studies to examine the benefits and the impacts from non-domain specific problem solving in AI. He explores interoperable needs for automated decision making. This work is pertinent to both evidence building and in horizon scanning on risks and ramifications in use-cases such as facial recognition; attribution of error in sensing and surveillance; drones and databases; and mobility and procurement of machine learning models and algorithms. He analyses impacts from data aggregation, legal obligations for privacy, and how to govern assessment of AI systems.
As a technical expert in IT-043-03 working groups on AI for Standards Australia, Simon also has a track record of collaborative policy advisory with IP experts, legal scholars, data scientists, and ICT professionals. Recent academic contributions include articles in a Special Law Issue of AI & Society (2020); Science, Technology & Human Values (2021); contributions to a Special Journal Issue for the Mellon Sawyer Seminar, Histories of AI: A Genealogy of Power at Cambridge University; and an upcoming chapter for the Cambridge Handbook on Facial Recognition (2023) alongside other ADM+S investigators.