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AUKUS to Develop AI-Enabled Solution to Improve Target Detection, Decision-Making Process

AUKUS to Develop AI-Enabled Solution to Improve Target Detection, Decision-Making Process

The trilateral security agreement between Australia, the United Kingdom and the United States continued to advance the development of resilient and autonomous artificial intelligence technology through a new round of testing during Project Convergence Capstone Four. The U.S. Army-hosted project, a two-phase multinational experiment held in Austin, Texas, in February and March, was designed to assess the readiness of the future warfighter.

Robert Hunjet, Australia’s program lead of the AUKUS AIA Working Group for the activity, shared how RAAIT helps accelerate information collection through autonomy-borne intelligence, surveillance and reconnaissance. “During PC-C4 we were able to stretch the technology and test its true capability,” he said.

Under AUKUS, the three nations aim to strengthen their capabilities to defend against various threats by advancing deeper information and technology sharing. The partnership also seeks to foster the integration of security and defense-related science. Autonomous systems are one of the six priority areas under the AUKUS Pillar 2 suite of cooperative activities.

Kimberly Sablon, principal director for trusted AI and autonomy at the U.S. Department of Defense, highlighted AUKUS’ contribution to future force capabilities.

“One advantage to doing that is we’re expanding and sustaining our capabilities. We are stronger as a coalition because we are no longer just training AI and autonomous systems based solely on U.S. operational data,” she said.

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