Dr Katie Williams

Senior Lecturer in Business Informa

School of Business
Faculty of Business, Economics and Law

Overview

Katie Williams is a Senior Lecturer within the School of Business, Business Information Systems discipline.

Katie completed her doctoral degree from Curtin University of Technology, Perth, Western Australia. Her doctoral dissertation, “Investigating Information Systems Risk Management Processes and Information Security Practices within e-business Organisations” focused on the design of a series of classification frameworks relating to various aspects of information systems risk management, including the creation of the CARE framework.

A former governance and risk KPMG Partner, Katie brings over 24 years of highly relevant industry experience in the public sector, with a focus on business and digital transformation, data governance, business analytics and continuous auditing practices.

Katie currently teaches several courses across the Master of Business Analytics program.

Her research interests include AI maturity, continuous auditing, and data governance.

Research Interests

  • Information Systems
  • Data Governance
  • Artificial Intelligence

Publications

  • Rhee, Joel, Ivers, Rowena, Vuong, Kylie and Williams, Katie (2023). Demystifying human research ethics committee applications. Australian Journal of General Practice, 52 (10), 721-727. doi: 10.31128/ajgp-02-23-6733

  • Bidar, Reihaneh, Someh, Ida, Rinta-Kahila, Tapani, Williams, Katie, Indulska, Marta and Ryan, Ian (2023). Redesigning work with Artificial Intelligence. SAP Thought Leadership Paper: Public Sector Brisbane, Australia; Canberra, Australia: The University of Queensland; SAP Institute for Digital Government. doi: 10.14264/6428cca

View all Publications

Publications

Journal Article

Other Outputs

  • Bidar, Reihaneh, Someh, Ida, Rinta-Kahila, Tapani, Williams, Katie, Indulska, Marta and Ryan, Ian (2023). Redesigning work with Artificial Intelligence. SAP Thought Leadership Paper: Public Sector Brisbane, Australia; Canberra, Australia: The University of Queensland; SAP Institute for Digital Government. doi: 10.14264/6428cca