“They ask what enemy units are in the region and leverage AI to build out a likely unit formation,” the video said. After getting the AI’s best guess as to what’s going on, the operator then asks the AI to take better pictures. It launches a Reaper MQ-9 drone to take photos and the operator discovers that there’s a T-80 tank, a Soviet-era Russia vehicle, near friendly forces. Then the operator asks the robots what to do about it. “The operator uses AIP to generate three possible courses of action to target this enemy equipment,” the video said. “Next they use AIP to automatically send these options up the chain of command.” The options include attacking the tank with an F-16, long range artillery, or Javelin missiles. According to the video, the AI will even let everyone know if nearby troops have enough Javelins to conduct the mission and automate the jamming systems. […]
What Palantir is offering is the illusion of safety and control for the Pentagon as it begins to adopt AI. “LLMs and algorithms must be controlled in this highly regulated and sensitive context to ensure that they are used in a legal and ethical way,” the pitch said. According to Palantir, this control involves three pillars. The first claim is that AIP will be able to deploy these systems into classified networks and “devices on the tactical edge.” It claims it will be able to parse both classified and real-time data in a responsible, legal, and ethical way. According to the video, users will then have control over what every LLM and AI in the Palantir-backed system can do. “AIP’s security features what LLMs and AI can and cannot see and what they can and cannot do,” the video said. “As operators take action, AIP generates a secure digital record of operations. These capabilities are crucial for mitigating significant legal, regulatory, and ethical risks in sensitive and classified settings.
