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Author: LANCE. METHE Publisher: ISBN: 9781977406316 Category : Languages : en Pages : 46
Book Description
There is growing demand for the Air Force Distributed Common Ground System (AF DCGS) to analyze sensor data. The authors assessed how new tools and technologies, including artificial intelligence and machine learning (AI/ML), can help meet these demands. The authors assessed AF DCGS tools and processes, surveyed the state of the art in AI/ML methods, and examined best practices to encourage innovation and to incorporate new tools.
Author: LANCE. METHE Publisher: ISBN: 9781977406316 Category : Languages : en Pages : 46
Book Description
There is growing demand for the Air Force Distributed Common Ground System (AF DCGS) to analyze sensor data. The authors assessed how new tools and technologies, including artificial intelligence and machine learning (AI/ML), can help meet these demands. The authors assessed AF DCGS tools and processes, surveyed the state of the art in AI/ML methods, and examined best practices to encourage innovation and to incorporate new tools.
Author: LANCE. MENTHE Publisher: ISBN: 9781977406330 Category : Languages : en Pages : 138
Book Description
The authors recommend tools, technologies, and processes to address the growing demand for Air Force Distributed Common Ground System support as it relates to intelligence squadrons within the 480th Intelligence, Surveillance and Reconnaissance Wing.
Author: Lance Menthe Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 124
Book Description
Intelligence collections and demand have grown over the past two decades, and intelligence analysts are often performing routine tasks, leaving them unable to conduct larger strategic analyses that are needed to address future threats as outlined by the 2018 National Defense Strategy. The authors provide an in-depth analysis of technologies that could help the Air Force Distributed Common Ground System (AF DCGS) become more effective, efficient, adept at using human capital, and agile. A key point is that artificial intelligence (AI) and machine learning (ML) technologies alone do not solve these intelligence challenges; rather, if they are properly implemented and complemented by human analysts who have the right skills and training, the capabilities can allow the AF DCGS to evolve to better meet warfighter needs. This is the second volume in a series about how AI/ML technology can help the AF DCGS meet the challenges of a demanding intelligence environment and the complexity of future threats envisioned by the 2018 National Defense Strategy. The authors provide more in-depth discussion of project methodology; a primer on AI/ML technology; case studies of analytic challenges in previous operations; best practices for successfully deploying new technologies; and other topics of interest to specialists, stakeholders, and experts.
Author: Brien Alkire Publisher: Rand Corporation ISBN: 0833092855 Category : History Languages : en Pages : 0
Book Description
This report describes steps the U.S. Air Force can take to help ensure that it has the capability needed to provide intelligence analysis support to a broad range of service and combatant commander needs, including support to ongoing irregular warfare operations, and to conventional warfare with a near-peer competitor.
Author: Mariko Hart Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 22
Book Description
"DoD and Air Force leaders have identified Artificial Intelligence (AI) as a gamechanging technology that will help the Air Force Intelligence, Surveillance, and Reconnaissance (ISR) enterprise overcome perennial challenges with speed and scale of intelligence analysis required for great power conflict. The Sensing Grid concept (recently renamed Sensor Integration) was introduced as a future framework to integrate AI and Cognitive Modeling tools for Air Force ISR, but there is little discussion about adversary threats and ethical considerations that should inform the design and functionality of the system. In order to prepare the human and organizational terrain within the Air Force to integrate a highly automated, AI-enabled intelligence analysis system, enterprise leaders must advocate for a human-centric design that takes lessons learned from historical human-machine teaming successes and failures. Leaders must also take a proactive approach to training the Air Force ISR workforce to team effectively with revolutionary but imperfect AI technology."--Abstract.
Author: National Research Council Publisher: National Academies Press ISBN: 0309258146 Category : Technology & Engineering Languages : en Pages : 117
Book Description
Intelligence, surveillance, and reconnaissance (ISR) capabilities have expanded situation awareness for U.S. forces, provided for more precise combat effects, and enabled better decision making both during conflicts and in peacetime, and reliance on ISR capabilities is expected to increase in the future. ISR capabilities are critical to 3 of the 12 Service Core Functions of the U.S. Air Force: namely, Global Integrated ISR (GIISR) and the ISR components of Cyberspace Superiority and Space Superiority, and contribute to all others. In response to a request from the Air Force for ISR and the Deputy Assistant Secretary of the Air Force for Science, Technology, and Engineering, the National Research Council formed the Committee on Examination of the Air Force Intelligence, Surveillance, and Reconnaissance (ISR) Capability Planning and Analysis (CP&A) Process. In this report, the committee reviews the current approach to the Air Force corporate planning and programming process for ISR capability generation; examines carious analytical methods, processes, and models for large-scale, complex domains like ISR; and identifies the best practices for the Air Force. In Capability Planning and Analysis to Optimize Air Force Intelligence, Surveillance, and Reconnaissance Investments, the current approach is analyzed and the best practices for the Air Force corporate planning and programming processed for ISR are recommended. This report also recommends improvements and changes to existing analytical tools, methods, roles and responsibilities, and organization and management that would be required to ensure the Air Force corporate planning and programming process for ISR is successful in addressing all Joint, National, and Coalition partner's needs.
Author: Benjamin M. Jensen Publisher: Georgetown University Press ISBN: 1647122651 Category : History Languages : en Pages : 268
Book Description
An in-depth assessment of innovations in military information technology informs hypothetical outcomes for artificial intelligence adaptations In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war. In Information in War, Benjamin Jensen, Christopher Whyte, and Scott Cuomo provide a deeper understanding of the AI revolution by exploring the relationship between information, organizational dynamics, and military power. The authors analyze how militaries adjust to new information communication technology historically to identify opportunities, risks, and obstacles that will almost certainly confront modern defense organizations as they pursue AI pathways to the future. Information in War builds on these historical cases to frame four alternative future scenarios exploring what the AI revolution could look like in the US military by 2040.
Author: Greg Zacharias Publisher: Independently Published ISBN: 9781092834346 Category : Languages : en Pages : 420
Book Description
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
Author: Stephan De Spiegeleire Publisher: The Hague Centre for Strategic Studies ISBN: 9492102544 Category : Languages : en Pages : 140
Book Description
Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations.