国防领域的人工智能：国防工业基础未来路线图——通过人工智能战略整合、确保安全与开创国防创新

Strategizing Integration, Ensuring Security, and Name: Kylie GaskinsTitle: Deputy Director, Enabling FutureCapabilities Transition Controlled by: OUSD (A&S), PA&TDistribution: APOC: Kylie Gaskins (571) 372-6380 Table of Contents INTRODUCTION 3 EXECUTIVE SUMMARY AI OVERVIEW AI IN INDUSTRY AI IN THE DEPARTMENT OF DEFENSE (DOD) 16 A PATH FORWARD Introduction INTRODUCTION Artificial Intelligence (AI) is a growing enabler for defense applications. Further, the Departmentof Defense (DoD) recognizes the importance of investing in the Defense Industrial Base’s (DIB)ability to incorporate AI into the design, development, operations, maintenance, and support of SCOPE To assess the ability of the DIB to produce newsystems with AI-enabled capabilities,Industrial Base Policy (IBP) sought tounderstand the industry and government forcesimpacting the development of AI anddevelop a roadmap of actionsthe DoD can take tosupport AI and warfighter capabilities within the DIB. APPROACH To assess the DIB’s potential for AI-enabled systems and develop the roadmap to its AI-drivenfuture, IBP: ➢Analyzed current and future AI processes and capabilities➢Identified leading trends and applications of AI within industry—including the defense industry➢Conducted an environmental scan to identify current actions within the DoD Executive Summary T H EO F F I C E KEY FINDINGS ➢AI Growth:AI capabilities are expanding and maturing. Industry is applying AI to drive overallproductivity and product capability. ➢DIB and Defense Use Cases:AI is being deployed by DIB suppliers for business operations andweapons system integration. Capabilities and use cases are rapidly increasing to rebuild the military. ➢Increasing DoD Resources:The DoD has established guidance, tools, and acquisition pathways to ➢Opportunities for AI Adoption:There is opportunity for the DoD to further improve AI adoption withshort-, medium-, and long-term actions in the following categories to achieve the following objectives: Acquisition, Policy,and Regulatory Environment: Coordinatewiththebroader AIecosystem of academia,industry, and other governmentpartners to establish and Simplify andexpedite theacquisition process for emergingtechnology andleverage more Developframeworks andstandards to support datasharing, AI development, and Reduce reliance on foreignsuppliers for AI infrastructure by investing in domesticproduction capabilities to AI Overview AI is a rapidly evolving and global field, driving new capabilities forapplications across all industries. What is AI? AI is the ability of machines to perform tasks that normally require human intelligence F O U R M AI N T Y P E S O F AI C O M M ON AI T E R M I N OLOGY M AC H I N E L E AR N I N G ( M L) R E AC T I V E M AC H I N E S A subset of artificial intelligence that allows a machine orsystem to learn and improve from experience. Instead ofdirect programming, ML leverages algorithms to analyzelarge data sets, learn from the data and insights, and then Programmed to respond to specific inputs with specificoutputs, without the ability to learn or store L I M I T ED M EM ORY Uses historical data andpre-programmed information tomake predictions and perform classification tasks.It doesthis by temporarily storing data from interactions or ➢Relationship to AI:ML is an application of AI wheremachines extract insights from data and learn from it.➢Examples:Facial recognition, spam filtering T H E O RY O F M I N D G E N E R AT I V E AI ( G E N AI ) Refers tothe ability of AI to understand and model thethoughts, intentions, and emotions of other agents, such Gen AI refers to the use of AI to create new content suchas text, images, and videos. ➢Relationship toML:Gen AI uses ML to analyzedatasets of human-created content. It thendetectspatterns within the datasets and uses theselearned patterns to generate new content. S E L F AWAR E Representsa speculative and futuristic vision of artificialintelligence, where machines would possessconsciousness, self-awareness, and even sentience. This Distribution Statement A AI Trends AI usage is surging, but faces headwinds and unknowns R AP I D G R O W T H AN D I N V E S TM E N T The AI market is projected to reach $407 billion by 2027. AI investmentsurged in 2022 to reach $25.2 billion. Major players in the Gen AI space, such I N D U S T RY S E E K S P R O D U C T I VI T Y 64% of businesses believe that AI will help increase their overall productivity.Additionally, 25% of companies are looking to AI solutions for laborshortages. However, semiconductor production capacity is limiting AI model D E S I R E F O R S TAN D AR D I Z AT I O N Research shows there is a lack of standardization in responsible AI reporting.Industry leaderssuch as OpenAI and Google test their models againstdifferent responsible AI benchmarks. This makes it difficult to consistently and C O N S U M ER S E N T I M EN T I S WAV E R I N G Most consumers believe AI will dr