The Australian Department of Defense conducted a multinational technology demonstration in New South Wales to evaluate artificial intelligence (AI) applications for warfighters.
Led by the Defense Science and Technology Group (DSTG), the TCP AI Strategic Challenge was held to prepare Canberra's Army for the “rapid, safe and ethical” employment of emerging AI solutions.
The event saw the participation of more than 150 experts from the military science communities in Australia, New Zealand, Canada, the United Kingdom and the United States.
Challenges presented to AI platforms included object detection and identification, shared battlefield resources, supporting dismounted force situational awareness, and adversarial AI scenarios.
“The goal was to put AI solutions under pressure in a representative operational environment and different mission scenarios to identify the strengths and weaknesses of the technology, so we can develop more flexible capabilities,” said DSTG Director of Experiments. Chris Shanahan advertiser.
Support defense objectives
Shanahan noted that each team demonstrated the responsible use of AI technology regarding the “legal and ethical aspects” of battlefield assessment throughout the demonstration.
Alongside defense scientists, military personnel from the Australian Joint Force participated in the program to gain more knowledge about the usefulness of AI and enhance its transfer to soldiers.
“The international and collaborative nature of the challenge means we are able to leverage coalition capabilities to achieve Australian objectives,” Shanahan said.
Create “human-machine teams”
Data collected from the challenge will be used to plan future AI adoption in Canberra mission systems.
“The technology must be reliable, reliable and comply with legal and ethical frameworks,” said DSTG AI Program Leader Robert Hungate to explain.
“the [AI Strategic Challenge] It brings together great minds from five countries to collectively consider issues such as performance under adverse conditions, trust, and responsible AI to address these issues.
“Artificial Intelligence is here now. It is time to leverage its efficiencies and build cohesive human-machine teams.
