References:
[1]
Anand, A. & Deng, H. (2023). Towards Responsible AI in Defence: A Mapping and Comparative Analysis of AI Principles Adopted by States. UNIDIR. https://www.unidir.org/publication/towards-responsible-ai-defence-mapping-and-comparative-analysis-ai-principles-adopted
Roberson, T., Bornstein, S., Liivoja, R., Ng, S., Scholz, J., & Devitt, K. (2022). A Method for Ethical AI in Defence: A case study on developing trustworthy autonomous systems. Journal of Responsible Technology, 100036. https://www.sciencedirect.com/science/article/pii/S2666659622000130
Devitt, S. K., & Copeland, D. (2022). Australia’s Approach to AI Governance in Security and Defence. In M. Raska, Z. Stanley-Lockman, & R. Bitzinger (Eds.), The AI Wave in Defence Innovation: Assessing Military Artificial Intelligence Strategies, Capabilities, and Trajectories. Routledge. https://arxiv.org/abs/2112.01252
Gaetjens, D., Devitt, S. K., & Shanahan, C. (2021). Case Study: A Method for Ethical AI in Defence Applied to an Envisioned Tactical Command and Control System (DSTG-TR-3847). Defence Science & Technology Group. https://www.dst.defence.gov.au/publication/case-study-method-ethical-ai-defence-applied-envisioned-tactical-command-and-control
Lockman, Z. (2021). Responsible and Ethical Military AI Allies and Allied Perspectives: CSET Issue Brief. Centre for Security and Emerging Technology, Georgetown University’s Walsh School of Foreign Service, pp.21-22. https://cset.georgetown.edu/wp-content/uploads/CSET-Responsible-and-Ethical-Military-AI.pdf
Devitt, S. K., Gan, M., Scholz, J., & Bolia, R. S. (2021). A Method for Ethical AI in Defence (DSTG-TR-3786). Defence Science & Technology Group. https://www.dst.defence.gov.au/publication/ethical-ai
Defence Science & Technology Group. (2019, 2 August). Ethical AI for Defence: World Experts Gather in Canberra. Department of Defence https://www.dst.defence.gov.au/news/2019/08/02/ethical-ai-defence-world-experts-gather-canberra
[2]
Pearce, T. R., Desouza, K., Wiewiora, A., Devitt, S. K., Mengersen, K., & Chowdhury, A. K. (2022). Debiasing Crowdsourcing and Collective Intelligence for Open Innovation with Novel Information System Affordances. 19th Conference of the Italian Chapter of AIS and the 14th Mediterranean Conference on Information Systems, Catanzaro. https://eprints.qut.edu.au/235920/
Devitt, S. K., Pearce, T. R., Chowdhury, A. K., & Mengersen, K. (2022). A Bayesian social platform for inclusive and evidence-based decision making. In M. Alfano, C. Klein, & J. de Ridder (Eds.), Social Virtue Epistemology. Routledge. https://arxiv.org/abs/2102.06893