Winning the national security AI competition : a practical guide for government and industry leaders / Chris Whitlock, Frank Strickland ; foreword by Robert Work.
Whitlock, Chris, author.; Strickland, Frank, author.
2023
TA347.A78 W45 2023
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Title Winning the national security AI competition : a practical guide for government and industry leaders / Chris Whitlock, Frank Strickland ; foreword by Robert Work.
Author Whitlock, Chris, author.
ISBN 9781484288146 electronic book
1484288149 electronic book
1484288130
9781484288139
DOI https://doi.org/10.1007/978-1-4842-8814-6
Published [New York, NY] : Apress, [2023]
Language English
Description 1 online resource (242 p.)
Other Standard Identifiers 10.1007/978-1-4842-8814-6 doi
Call Number TA347.A78 W45 2023
Dewey Decimal Classification 006.3
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.
Note Description based upon print version of record.
Activity #4: Model Development/Advanced Analytics
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on January 18, 2023).
Added Author Strickland, Frank, author.
Available in Other Form Winning the National Security AI Competition
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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

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

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

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

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

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