The United States Army Research Laboratory is investigating the capabilities of OpenAI’s generative AI solutions for battle planning, using a simulated military video game environment.
As detailed in a report from the New Scientist, US Army researchers are employing OpenAI’s GPT-4 Turbo and GPT-4 Vision models to collect data on simulated battlefield terrain, identify friendly and enemy forces, and offer military insights on offensive and defensive strategies. Alongside these, they are utilizing two other AI models based on older technology.
In their experiments, AI assistants were given a mission to eliminate all enemy forces and secure a specified objective point. Upon receiving the mission, the AI assistants generated various courses of action, which were then refined by a user acting as a commander. Although OpenAI’s GPT models performed better than the other models, they also resulted in more casualties while accomplishing mission objectives.
This integration of generative AI into military strategy is just a small part of the US Army’s wider effort to harness artificial intelligence.
Project Maven, a significant AI initiative by the US Department of Defense, has shown success in tasks like identifying rocket launchers in Yemen and surface vessels in the Red Sea, as well as aiding in target identification for strikes in Iraq and Syria, according to a report by Bloomberg.
However, the potential deployment of AI in battlefield scenarios raises notable ethical concerns. Entrusting decisions that could lead to fatalities to machines draws comparisons to the Terminator movie series rather than the optimistic vision often associated with AI. Nevertheless, the military is persisting with AI development.
Impact Shorts
More ShortsThe Pentagon has requested significant funding from US lawmakers to advance its artificial intelligence and networking capabilities, as reported by DefenseScoop. Additionally, positions such as Chief Digital and AI Officer have been established to support the adoption and use of this technology throughout the department.
(With inputs from agencies)