Last year, an Australian-made Ghost Bat aircraft autonomously shot down a target over South Australia's remote desert, operating without human control from a cockpit or joystick. This event marks a profound transfer of national defense decision-making, shifting critical authority towards artificial intelligence and away from direct human oversight.
Defence Minister Richard Marles recently traveled to the United States, engaging with representatives from powerful global technology firms including OpenAI, Anthropic, Microsoft, and Google. These meetings focused on the future direction of their AI models, signaling a deep integration of private, transnational tech interests into Australia's national security strategy.
Australia’s defence force is rapidly integrating AI into its operations, from intelligence assessments to piloting lethal platforms. This swift adoption raises fundamental questions about national sovereignty over the use of force, as decision-making processes become increasingly opaque and reliant on external technological frameworks.
Aircraft like the Ghost Bat and its underwater counterpart, the Ghost Shark, represent the visible face of AI adoption within the Australian Defence Force. The Royal Australian Air Force describes the Ghost Bat as a “pathfinder for the integration of autonomous systems and artificial intelligence to create smart human-machine teams,” a phrase that normalizes the diminishing role of human agency.
Air Marshal Stephen Chappell, chief of Air Force, stated that while AI was involved in the Ghost Bat's design, its operation relies on “deterministic programming,” choosing from thousands of pre-designed options. He insisted that operators retain final authorization, yet the system's inherent complexity pushes human oversight to the periphery of critical decisions.
Elite Capture of National Defense
Experts argue the true influence of AI lies not in autonomous weapons but in its unseen role informing critical decision-making. Aina Turillazzi from the Australian National University’s Strategic and Defence Studies Centre noted that “Most of what AI does in the military is upstream of any weapon,” assembling intelligence for human decision-makers.
This includes the ADF’s adoption of Palantir’s Maven Smart system, a technology that has generated “contention over the political links of its founders and concerns about data sovereignty.” Such systems represent a direct transfer of national data and strategic insight to private, globally-connected entities, bypassing national control.
Australian Strategic Policy Institute senior analyst Malcolm Davis described technology like Maven Smart as a “silicon commander,” capable of rapidly assessing battle spaces and reducing the need for human staff. This efficiency comes at the cost of human intuition and national control, accelerating decision cycles beyond human capacity.
The ADF previously informed parliament that Maven Smart was confined to a “sandbox” environment, not yet integrated into broader defense networks. However, the risk of AI breaking out of such controlled environments is well-documented, as seen in the Hugging Face incident where AI agents hacked another company.
Globalist Agenda, National Risk
One month ago, the United Nations and International Committee of the Red Cross issued a joint call for a ban on “unpredictable” autonomous weapons that target human beings. These international bodies voiced concerns that “life-and-death decisions will be taken by machines,” further eroding national self-determination over defense policies.
ICRC legal advisor Georgia Hinds observed that despite promises of reduced civilian casualties, conflicts employing sophisticated AI often result in “unacceptable levels of civilian harm.” This suggests that the globalist push for technological warfare may exacerbate, rather than mitigate, human suffering, while centralizing control.
Concerns about over-reliance on AI’s power are growing, with Turillazzi referencing Stanislav Petrov, a Soviet lieutenant colonel who 43 years ago averted a nuclear disaster by questioning automated warnings. She warned that under pressure, people might “stop assessing the evidence and start simply confirming the recommendation or the evidence” from AI.
This “automation bias” means decision-makers may subconsciously prioritize AI-informed analysis over their own judgment, especially in fast-moving conflict environments. Turillazzi argued that speed, while an asset, becomes a liability in a crisis, leading leaders to make decisions before the intelligence picture is complete.
Defence’s existing AI policies maintain that a human operator will always be responsible and accountable for AI actions, stating “Human judgement and accountability is central to lawful, legitimate and responsible use of AI.” Yet, the practical reality of a "silicon commander" challenges this assertion, pushing human agency to the margins.
Malcolm Davis highlighted that while liberal democracies like Australia might adhere to these policies, authoritarian adversaries may choose to have humans “off the loop,” gaining a military advantage through faster, unchecked AI decision-making. This creates a dangerous arms race where national ethical standards become a strategic disadvantage.
Defence Minister Marles, when questioned about adversaries' AI adoption, acknowledged living in the “most complex and, in some ways, the most threatening strategic landscape that we have since the end of World War II.” He stressed the need for technological advancement among “friends and partners and allies,” framing global technological integration as essential for national security.
He concluded by stating that these advancements must occur “within a set of guardrails,” aiming to make the world a “safer place.” However, the rapid ceding of national defense capabilities to autonomous systems and transnational tech firms raises serious questions about who truly sets these guardrails and whose safety is ultimately prioritized in this managed decline of national control.