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Kevin Yiwei Huang

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Kevin Yiwei Huang is a doctoral candidate in the Policy and Governance Program at the Crawford School of Public Policy. His research focuses on the complex interplay between technology, international relations, defence, strategy, and public policy, with a particular emphasis on the economic-security nexus.

His research Interests include Technology policy and governance, International relations in the context of technological advancement, Defence and strategic studies, Economic-security interdependence, Strategic technology competition among great powers

Topic title

The Search for Advantage: Great Powers' Strategies for Technological Competition

Topic description

Titled “The Search for Advantage: Great Powers’ Strategies for Technological Competition,” , this research investigates the underlying factors that drive technology strategy formulation in the context of great power competition. This research aims to provide insights into the dynamics of technological rivalry and its implications for global governance, international relations, and national defense strategies.

Publications

Online Article

• Huang, Kevin Y. (2021). Mission Command and Artificial Intelligence: Obstacles to Integration. Land Power Forum. https://researchcentre.army.gov.au/library/land-power-forum/mission-comm....

Journal Article

• Du, N., Huang, K. Y., & Yang, X. J. (2020). Not All Information Is Equal: Effects of disclosing different types of likelihood information on trust, compliance and reliance, and task performance in human-automation teaming. Human Factors. 62 (6), 987-1001. DOI: 10.1177/0018720819862916.

Conference Proceeding

• Luo, R., Du, N., Huang, K. Y., & Yang, X. J. (2019). Enhancing Transparency in Human-autonomy Teaming via the Option-centric Rationale Display. In Proceedings of the 63rd Annual Meeting of the Human Factors and Ergonomics Society (HFES). Seattle, WA. DOI: 10.1177/1071181319631366.

Poster Presentation

• Luo, R., Du, N., Huang, K. Y., & Yang, X. J. (2019). Enhancing autonomy transparency: an option-centric rationale approach. Presented at 2019 Michigan AI Symposium, Ann Arbor, MI, October.

Mailing address

Crawford School of Public Policy
ANU College of Asia & the Pacific
J.G. Crawford Building No. 132
Lennox Crossing
The Australian National University
Canberra ACT 2601 Australia

Updated:  17 August 2024/Responsible Officer:  Crawford Engagement/Page Contact:  CAP Web Team