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001453453 001__ 1453453
001453453 003__ OCoLC
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001453453 019__ $$a1352415017
001453453 020__ $$a9781484288146$$qelectronic book
001453453 020__ $$a1484288149$$qelectronic book
001453453 020__ $$z1484288130
001453453 020__ $$z9781484288139
001453453 0247_ $$a10.1007/978-1-4842-8814-6$$2doi
001453453 035__ $$aSP(OCoLC)1352974863
001453453 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dORMDA$$dEBLCP$$dGW5XE$$dOCLCF$$dYDX$$dUKAHL$$dYDX$$dOCLCQ$$dTOH$$dOCLCQ
001453453 049__ $$aISEA
001453453 050_4 $$aTA347.A78$$bW45 2023
001453453 08204 $$a006.3$$223/eng/20221206
001453453 1001_ $$aWhitlock, Chris,$$eauthor.
001453453 24510 $$aWinning the national security AI competition :$$ba practical guide for government and industry leaders /$$cChris Whitlock, Frank Strickland ; foreword by Robert Work.
001453453 264_1 $$a[New York, NY] :$$bApress,$$c[2023]
001453453 300__ $$a1 online resource (242 p.)
001453453 336__ $$atext$$btxt$$2rdacontent
001453453 337__ $$acomputer$$bc$$2rdamedia
001453453 338__ $$aonline resource$$bcr$$2rdacarrier
001453453 500__ $$aDescription based upon print version of record.
001453453 500__ $$aActivity #4: Model Development/Advanced Analytics
001453453 5050_ $$aIntro -- 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
001453453 5058_ $$aAn Exemplar Performance Assessment: High Value Individual (HVI) Study -- The Mission Problem -- Quantitative Assessment of Mission Value -- Impact -- A Look at Dashboards in the Wild -- An Exemplar Dashboard: Naval Fuel Analytics and Characterization Tool (NFACT) -- The Mission Problem -- Standardizing Data Cleaning and Visualization -- Impact -- Driving Improvement -- A Look at Experiments in the Wild -- An Exemplar AI Experiment Releasing Official Government Records to the Public -- The Mission Problem -- Experimenting with Machine Review of Documents -- Impact
001453453 5058_ $$aA 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
001453453 5058_ $$aCase Example: Smartphone Face ID and Implications to Program Design -- Key Leadership Issues and Best Practice for Program Design, Operation, Adaptation -- Chapter 4: Government Programming and Budgeting for AI Leaders -- Summary -- Programming and Budgeting Demystified -- Executing: The Underleveraged Starting Point for Programming and Budgeting -- Formulating: Defending Starts in the Executive Branch Not in Congress -- Defending: Authorization, Appropriations, and Congressional Oversight -- Chapter 5: Data Science for AI Leaders -- Summary -- Programming Skill Required
001453453 5058_ $$aThinking 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
001453453 506__ $$aAccess limited to authorized users.
001453453 520__ $$aIn 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.
001453453 588__ $$aDescription based on online resource; title from digital title page (viewed on January 18, 2023).
001453453 650_0 $$aArtificial intelligence$$xIndustrial applications$$xSecurity measures.
001453453 650_0 $$aComputer networks$$xSecurity measures.
001453453 650_0 $$aNational security$$xData processing.
001453453 650_0 $$aArtificial intelligence$$xPolitical aspects.
001453453 650_0 $$aData protection$$xGovernment policy.
001453453 655_0 $$aElectronic books.
001453453 7001_ $$aStrickland, Frank,$$eauthor.
001453453 77608 $$iPrint version:$$aWhitlock, Chris$$tWinning the National Security AI Competition$$dBerkeley, CA : Apress L. P.,c2022$$z9781484288139
001453453 852__ $$bebk
001453453 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-8814-6$$zOnline Access$$91397441.1
001453453 909CO $$ooai:library.usi.edu:1453453$$pGLOBAL_SET
001453453 980__ $$aBIB
001453453 980__ $$aEBOOK
001453453 982__ $$aEbook
001453453 983__ $$aOnline
001453453 994__ $$a92$$bISE