Joint Artificial Intelligence
Abstract
The JAIC was established to preserve and expand our military advantage in support of the Department’s 2018 National Defense Strategy. As a primarily executing body it will accelerate the delivery of Artificial Intelligence (AI) enabled capabilities, scale the Department-wide impact of AI, and synchronize DoD AI activities to expand Joint Force advantages. The JAIC mission is to accelerate the delivery of AI to achieve impact scaled across the DoD at relevant speed to transform the DoD and ensure the nation maintains a competitive advantage. JAIC capitalizes on Project Maven’s efforts as the pathfinder AI initiative for the DoD to further critical AI architecture and prototyping to rapidly expand AI to other mission areas. As JAIC efforts prove relevant, they will expedite technology transition from the laboratory to operational use, and increase Joint Force capability. Most military data storage, utilization, and analytic tools and systems were designed pre-AI and require specialized integration to enable the insertion of algorithms into their software baseline. The JAIC will adopt or adapt commercial and government developed capabilities to improve warfighting and business processes. JAIC will execute an initial sequence of AI implementations, called National Mission Initiatives (NMI), to demonstrate value and create momentum. NMIs are high-priority, pressing operational or business reform challenges. Additionally, JAIC will work closely with individual components to help identify, shape, and accelerate component-specific AI deployments, called Component Mission Initiatives (CMI). Both NMI and CMI efforts will include government, commercial, and academic partners to prototype and develop standardized processes with respect to data, testing and evaluation, and cybersecurity. JAIC will use lessons learned from these initial projects to establish new processes and standards that will be repeatable across additional projects and immediately relevant to the Joint Force. This will be done in collaboration with partners across technology companies, consulting firms, academia, government labs, Federally Funded Research and Development Centers (FFRDC), services, and international partners. JAIC will scale use cases throughout the DoD in a manner that aligns with and leverages DoD enterprise cloud computing. It will establish a common foundation for scaling AI’s impact across DoD, including shared data, reusable tools, frameworks and standards, and cloud and edge services. This will drive greater value by enabling consistency of approach, technology, and tools for all delivery-focused AI projects. JAIC will foster shared lessons, and establish an enterprise approach while catalyzing efforts across DoD to enable more rapid and efficient prototyping and delivery of AI capabilities. JAIC will develop a governance framework and standards for AI development and delivery and collaborate within DoD, across government, and with industry, academia, and U.S. allies to strengthen partnerships, highlight critical needs, solve problems of urgent operational significance, and adapt AI technologies for DoD missions. JAIC develops, tests, prototypes and demonstrates innovative AI, Machine Learning (ML), data infrastructure, and model/algorithm test and assessment capabilities to integrate AI capabilities across numerous domains and technical areas including maintenance and supply chain, personnel recovery, infrastructure assessment, geospatial monitoring during disaster, and cyber sense making. JAIC develops and evaluates integrated prototype technologies in realistic operating environments with DoD entities to assess the performance or cost reduction potential of applying such advanced technology to scale across multiple services. JAIC does this by aligning rapid prototype projects under NMIs and leverages existing commercial technology for DoD use, built upon a common architecture that enables the DoD to rapidly scale AI capability. For the Predictive Maintenance NMI, JAIC uses artificial intelligence, deep learning, and predictive analytics to forecast major issues on the H-60 helicopter platform to better enable services to respond to upcoming failure. AI/ML will help identify component failure relationships to principle end items to predict critical failure prior to corrective maintenance and reactive supply chain requisitions. This will increase efficiency, decrease fleet operating and sustainment costs for equipment platforms, and reduce the time and costs associated with repair part requisition, management and transportation. Predictive maintenance will increase fleet operational readiness through reduced deadline or degradation time, particularly by preventing critical failure during missions, thereby providing certainty for availability and tasking to combatant commands and Joint Forces. This NMI will also apply AI and ML to optimize positioning of tools, parts, and personnel to provide the Joint Force with the best location to provide efficient and cost-effective repair and supply depots. For the Humanitarian Aid and Disaster Relief NMI, JAIC will use computer vision algorithms to detect, classify, and identify distressed or missing personnel, predict forest fire patterns and burn rates, and flooding that impact human life and infrastructure. JAIC does this within FMV images (e.g., person, forest fire lines, flood lines, terrain and infrastructure changes) and other AI algorithms for text based projects to coordinate disaster relief efforts. JAIC algorithms increase the intelligence value of ISR, reduce the human burden of screening so analysts can multi-task increasing productivity, and seeds the generation of insight from multiple intelligence sources. This program is funded under Budget Activity 4, Demonstration and Validation.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2020
- Source ID
- 006_0604532D8Z_4_0400_PB_2020
Related Documents
- Root: Joint Artificial Intelligence
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