| Description |
1 online resource (242 p.) |
| Contents |
Intro -- Contents -- About the Authors -- Advance Praise -- Acknowledgments -- Foreword -- Introduction -- Chapter 1: The Three Imperatives to Develop AI Leaders -- Summary -- Imperative #1: Mission Needs -- Imperative #2: AI and Autonomous Systems -- Imperative #3: AI Leaders -- Outline of the Book -- Leaders Are Essential -- Chapter 2: How Leaders Should Think and Talk About AI -- Summary -- AI Value Varies -- Case Example: Exploring the Limits of AI's Value -- Four Types of Projects -- Understanding Performance -- A Look at Quantitative Performance Assessments in the Wild |
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An Exemplar Performance Assessment: High Value Individual (HVI) Study -- The Mission Problem -- Quantitative Assessment of Mission Value -- Impact -- A Look at Dashboards in the Wild -- An Exemplar Dashboard: Naval Fuel Analytics and Characterization Tool (NFACT) -- The Mission Problem -- Standardizing Data Cleaning and Visualization -- Impact -- Driving Improvement -- A Look at Experiments in the Wild -- An Exemplar AI Experiment Releasing Official Government Records to the Public -- The Mission Problem -- Experimenting with Machine Review of Documents -- Impact |
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A Look at Deployed Models in the Wild -- An Exemplar Deployed Model Project Maven -- The Mission Problem -- Deployed AI Solution -- Impact -- Projects Have Same Technical DNA -- Completely Autonomous is an Oxymoron -- An Exemplar Fully Autonomous System in the Making: Self-Driving Vehicles -- Chapter 3: Leading the Program -- Summary -- Program Axioms -- Axioms for Leading AI Programs -- Illustration of AI Program Contexts -- Case Example: Centralized DoD Program to Counter IED Threat -- Case Example: Lean Six Sigma: Centralized and Decentralized Program Elements |
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Case Example: Smartphone Face ID and Implications to Program Design -- Key Leadership Issues and Best Practice for Program Design, Operation, Adaptation -- Chapter 4: Government Programming and Budgeting for AI Leaders -- Summary -- Programming and Budgeting Demystified -- Executing: The Underleveraged Starting Point for Programming and Budgeting -- Formulating: Defending Starts in the Executive Branch Not in Congress -- Defending: Authorization, Appropriations, and Congressional Oversight -- Chapter 5: Data Science for AI Leaders -- Summary -- Programming Skill Required |
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Thinking About Common Software -- Statistical Understanding Required -- Labeled Data is One Path -- Foundation Methods Are Key -- Potential Leader Questions -- Advanced Approaches Can Generate Lift -- Text Is An Asset -- Summary Regarding Data Science -- Chapter 6: Leading the Project -- Summary -- Revisiting AI Project Types -- Project Axioms -- Six Major Project Activities -- Activity #1: Selling the Project -- Case Example: Setting Realistic Expectations -- Activity #2: Initiating the Project -- Activity #3: Data Acquisition and Exploration -- Case Example: Misinterpreting Data-A 10B Error |
| Summary |
In introducing the National Security Commission on AI's final report, Eric Schmidt, former Google CEO, and Robert Work, former Deputy Secretary of Defense, wrote: "The human talent deficit is the government's most conspicuous AI deficit and the single greatest inhibitor to buying, building, and fielding AI-enabled technologies for national security purposes." Drawing upon three decades of leading hundreds of advanced analytics and AI programs and projects in government and industry, Chris Whitlock and Frank Strickland address in this book the primary variable in the talent deficit, i.e., large numbers of qualified AI leaders. The book quickly moves from a case for action to leadership principles and practices for effectively integrating AI into programs and driving results in AI projects. The chapters convey 37 axioms - enduring truths for developing and deploying AI - and over 100 leader practices set among 50 cases and examples, 40 of which focus on AI in national security. Emphasizing its impact and practical nature, LTG (ret.) Ken Tovo, former commander of U.S. Army special forces, characterized the book as "the Ranger Handbook for AI implementation!" Whether you are a senior or mid-level leader who lacks hands-on experience with AI, or an AI practitioner who lacks leadership experience, this book will equip you to lead AI programs, projects, people, and technology. As the Honorable Robert Work wrote in the foreword: "This book is not the last word on leading AI in the national security enterprise, but I believe it is an essential starting point." You will: Review axioms or enduring truths at work in six dimensions of AI: program, budget, project, data science, people, and technology Apply best practices--such as decision frameworks, processes, checklists--for leading work in each of the six dimensions. See how the axioms and best practices are contextualized to national security missions |
| Notes |
Description based upon print version of record |
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Activity #4: Model Development/Advanced Analytics |
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Description based on online resource; title from digital title page (viewed on January 18, 2023) |
| Subject |
Artificial intelligence -- Industrial applications -- Security measures
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Computer networks -- Security measures.
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National security -- Data processing
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Artificial intelligence -- Political aspects
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Data protection -- Government policy
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National security -- Data processing
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Data protection -- Government policy
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Computer networks -- Security measures
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| Form |
Electronic book
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| Author |
Strickland, Frank, author
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| ISBN |
9781484288146 |
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1484288149 |
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