Author: Matthew Walsh
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 74
Book Description
This report concerns the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective. The authors present an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The purpose of the framework is to identify AI systems that address the distinct needs of different C2 problems and to identify the technical gaps that remain. Although the authors focus on C2, the analytical framework applies to other warfighting functions and services as well. The goal of C2 is to enable what is operationally possible by planning, synchronizing, and integrating forces in time and purpose. The authors first present a taxonomy of problem characteristics and apply them to numerous games and C2 processes. Recent commercial applications of AI systems underscore that AI offers real-world value and can function successfully as components of larger human-machine teams. The authors outline a taxonomy of solution capabilities and apply them to numerous AI systems. While primarily focusing on determining alignment between AI systems and C2 processes, the report's analysis of C2 processes is also informative with respect to pervasive technological capabilities that will be required of Department of Defense (DoD) AI systems. Finally, the authors develop metrics-based on measures of performance, effectiveness, and suitability-that can be used to evaluate AI systems, once implemented, and to demonstrate and socialize their utility.
Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control
Author: Matthew Walsh
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 74
Book Description
This report concerns the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective. The authors present an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The purpose of the framework is to identify AI systems that address the distinct needs of different C2 problems and to identify the technical gaps that remain. Although the authors focus on C2, the analytical framework applies to other warfighting functions and services as well. The goal of C2 is to enable what is operationally possible by planning, synchronizing, and integrating forces in time and purpose. The authors first present a taxonomy of problem characteristics and apply them to numerous games and C2 processes. Recent commercial applications of AI systems underscore that AI offers real-world value and can function successfully as components of larger human-machine teams. The authors outline a taxonomy of solution capabilities and apply them to numerous AI systems. While primarily focusing on determining alignment between AI systems and C2 processes, the report's analysis of C2 processes is also informative with respect to pervasive technological capabilities that will be required of Department of Defense (DoD) AI systems. Finally, the authors develop metrics-based on measures of performance, effectiveness, and suitability-that can be used to evaluate AI systems, once implemented, and to demonstrate and socialize their utility.
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 74
Book Description
This report concerns the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective. The authors present an analytical framework for assessing the suitability of a given AI system for a given C2 problem. The purpose of the framework is to identify AI systems that address the distinct needs of different C2 problems and to identify the technical gaps that remain. Although the authors focus on C2, the analytical framework applies to other warfighting functions and services as well. The goal of C2 is to enable what is operationally possible by planning, synchronizing, and integrating forces in time and purpose. The authors first present a taxonomy of problem characteristics and apply them to numerous games and C2 processes. Recent commercial applications of AI systems underscore that AI offers real-world value and can function successfully as components of larger human-machine teams. The authors outline a taxonomy of solution capabilities and apply them to numerous AI systems. While primarily focusing on determining alignment between AI systems and C2 processes, the report's analysis of C2 processes is also informative with respect to pervasive technological capabilities that will be required of Department of Defense (DoD) AI systems. Finally, the authors develop metrics-based on measures of performance, effectiveness, and suitability-that can be used to evaluate AI systems, once implemented, and to demonstrate and socialize their utility.
Exploring the Feasibility and Utility of Machine Learning-Assisted Command and Control
Author: Matthew Walsh
Publisher:
ISBN: 9781977407108
Category : Business & Economics
Languages : en
Pages : 0
Book Description
This volume serves as the technical analysis to a report concerning the potential for artificial intelligence systems to assist in Air Force command and control (C2). The authors present their analysis of the problem characteristics and solution capabilities described in Volume 1. They provide details about the expert panel used to gather data and three technical case studies that demonstrate a wide range of solutions to various C2 problems.
Publisher:
ISBN: 9781977407108
Category : Business & Economics
Languages : en
Pages : 0
Book Description
This volume serves as the technical analysis to a report concerning the potential for artificial intelligence systems to assist in Air Force command and control (C2). The authors present their analysis of the problem characteristics and solution capabilities described in Volume 1. They provide details about the expert panel used to gather data and three technical case studies that demonstrate a wide range of solutions to various C2 problems.
Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control
Author: Matthew Walsh
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 98
Book Description
This volume serves as the technical analysis to a report concerning the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective. The authors detail the taxonomy of ten C2 problem characteristics. They present the results of a structured interview protocol that enabled scoring of problem characteristics for C2 processes with subject-matter experts (SMEs). Using the problem taxonomy and the structured interview protocol, they analyzed ten games and ten C2 processes. To demonstrate the problem taxonomy and the structured interview protocol for a C2 problem, they then applied them to sensor management as performed by an air battle manager. The authors then turn to eight AI system solution capabilities. As for the C2 problem characteristics, they created a structured protocol to enable valid and reliable scoring of solution capabilities for a given AI system. Using the solution taxonomy and the structured interview protocol, they analyzed ten AI systems. The authors present additional details about the design, implementation, and results of the expert panel that was used to determine which of the eight solution capabilities are needed to address each of the ten problem characteristics. Finally, they present three technical case studies that demonstrate a wide range of computational, AI, and human solutions to various C2 problems.
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 98
Book Description
This volume serves as the technical analysis to a report concerning the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspective. The authors detail the taxonomy of ten C2 problem characteristics. They present the results of a structured interview protocol that enabled scoring of problem characteristics for C2 processes with subject-matter experts (SMEs). Using the problem taxonomy and the structured interview protocol, they analyzed ten games and ten C2 processes. To demonstrate the problem taxonomy and the structured interview protocol for a C2 problem, they then applied them to sensor management as performed by an air battle manager. The authors then turn to eight AI system solution capabilities. As for the C2 problem characteristics, they created a structured protocol to enable valid and reliable scoring of solution capabilities for a given AI system. Using the solution taxonomy and the structured interview protocol, they analyzed ten AI systems. The authors present additional details about the design, implementation, and results of the expert panel that was used to determine which of the eight solution capabilities are needed to address each of the ten problem characteristics. Finally, they present three technical case studies that demonstrate a wide range of computational, AI, and human solutions to various C2 problems.
Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control: Findings and recommendations
Author: Matthew Walsh
Publisher:
ISBN: 9781977407092
Category : Business & Economics
Languages : en
Pages : 90
Book Description
This report describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2). The authors develop a framework and metrics for assessing the suitability of a given AI system for a given C2 problem.
Publisher:
ISBN: 9781977407092
Category : Business & Economics
Languages : en
Pages : 90
Book Description
This report describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2). The authors develop a framework and metrics for assessing the suitability of a given AI system for a given C2 problem.
Technology Innovation and the Future of Air Force Intelligence Analysis
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.
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.
Bulletin of the Atomic Scientists
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
The Department of Defense Posture for Artificial Intelligence
Author: Danielle C. Tarraf
Publisher:
ISBN: 9781977404053
Category : Computers
Languages : en
Pages : 0
Book Description
In this report, the authors assess the state of artificial intelligence (AI) relevant to DoD, conduct an independent assessment of the Department of Defense's posture in AI, and put forth a set of recommendations to enhance that posture.
Publisher:
ISBN: 9781977404053
Category : Computers
Languages : en
Pages : 0
Book Description
In this report, the authors assess the state of artificial intelligence (AI) relevant to DoD, conduct an independent assessment of the Department of Defense's posture in AI, and put forth a set of recommendations to enhance that posture.
Responsible Artificial Intelligence
Author: Virginia Dignum
Publisher: Springer Nature
ISBN: 3030303713
Category : Computers
Languages : en
Pages : 133
Book Description
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.
Publisher: Springer Nature
ISBN: 3030303713
Category : Computers
Languages : en
Pages : 133
Book Description
In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.
Bulletin of the Atomic Scientists
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 64
Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Publisher:
ISBN:
Category :
Languages : en
Pages : 64
Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Artificial Intelligence in Drug Discovery
Author: Nathan Brown
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
Book Description
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
Book Description
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.