BLUF

The authors argue foreign-trained AI models can retain political assumptions after local hosting and adaptation. Their testing found language-based differences, suggesting Australia should examine model origins, inherited settings and behaviour before deployment.

Learning Outcomes

· Explain how foreign training shapes locally adapted AI models.
· Examine multilingual testing requirements for Australian Defence applications.
· Discuss how inherited model settings affect technological sovereignty.

References