TACTIACL AI: NOT A CASTLE IN THE SKY
across the domain to reduce that uncertainty through targeted AI development:
• The first phase, for the 2021 fiscal year, is to develop the abil- ity to complete a medical evacuation medevac request from a chat window. The application will identify relevant informa- tion from a chat in progress and use it to generate a nine-line medevac call, allowing the user to review and send the call, rather than having to manually enter the information in a sepa- rate window. Even this relatively modest undertaking already requires access to training data and a limited ontology.
• The second phase will add situational awareness across text chat and voice communications, providing near-real-time alerts from the massive amounts of tactical communications traffic, based not only on keywords but also on related topics. This may allow a commander to get an alert when a specific location or target is mentioned, or identify trends such as heightened traf- fic in a particular location that may warrant attention.
• Future phases will add layers of complexity with mission valida- tion reasoners and decision tools to optimize courses of action.
Te pathfinder project will reexamine the acquisition process to determine the flexibility and infrastructure needed to enable AI across multiple systems. System requirements are written and executed narrowly, according to prescribed funding and sched- ule, and dependencies on undeveloped resources like a knowledge base or ontology to represent risk. However, this is a chicken-and- egg problem, because no one will build the common resources needed without the funds allotted through acquisition. Just as a smartphone application can be given permissions to use your phone’s existing camera, microphone or date and time provided by the hardware and operating system without redundancy, an AI application that provides reasoning for, say, the ability to auto- matically validate mission requirements should be able to make use of a common knowledge base, existing reasoners, or data from
Most out-of-the-box AI solutions assume seamless connectivity between data input, data analysis and model output to point of use.
48 Army AL&T Magazine Spring 2021 THE AI STEWARD
Patrick Riley, who is leading the DEVCOM Chemical Biological Center’s artificial intelligence and machine learning initiative known as STEWARD, codes a software program that uses artificial intelligence and machine learning to advance his research. (Photo by Jack Bunja, DEVCOM Chemical Biological Center)
information extractors. As we move toward a more efficient AI, a more general AI that makes use of common resources, we need to support through acquisition an architecture that will allow plug-and-play upgrades and enhance competition in a rapidly evolving industry.
CONCLUSION Each phase of the pathfinder project leaves behind infrastructure and development tools that will help the following phases and future AI enablers. If successful, the PEO C3T AI pathfinder will significantly reduce the time it takes to develop a new idea from concept to deployment, allowing PEO C3T to be much more responsive to the emerging needs of Soldiers.
Tere’s no magic here. Tis quest is about hard work and collabo- ration. We’re partnered across the enterprise, with Army Futures Command for requirements development and science and tech- nology; the Rapid Capabilities and Critical Technologies Office; and federally funded research and development centers. Each partner brings a different perspective and a different part of the solution. We’ve left behind the castles in the sky and are
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