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Leading with Artificial Intelligence Insights for U.S. Civilian and Military Leaders on Strengthening the AI Workforce / EDITORS: RACHEL SLAMA, NELSON LIM, DOUGLAS YEUNG.
- Format:
- Book
- Series:
- Perspective (Rand Corporation) ; A3414-1.
- Expert Insights ; A3414-1
- RAND Perspective series ; A3414-1
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Artificial intelligence--Social aspects.
- Employees--Effect of technological innovations on--United States.
- Employees.
- Labor supply--Effect of technological innovations on--United States.
- Labor supply.
- Technological innovations--Government policy--United States.
- Technological innovations.
- Data Science.
- Homeland Security.
- Military Education And Training.
- Postsecondary Education.
- STEM Education.
- United States Department of Defense.
- Workforce Development.
- artificial intelligence.
- Local Subjects:
- Artificial intelligence.
- Data Science.
- Homeland Security.
- Military Education And Training.
- Postsecondary Education.
- STEM Education.
- United States Department of Defense.
- Workforce Development.
- Physical Description:
- x, 80 pages : illustrations ; 21 cm
- Place of Publication:
- Santa Monica, CA : RAND, 2024
- Summary:
- Artificial intelligence (AI) is poised to significantly affect the American workforce--both civilian and military personnel--through job displacement, augmentation, and the need for widespread upskilling. President Biden's October 2023 executive order on AI emphasizes the government's commitment to upskilling the federal workforce in understanding, adopting, deploying, and using AI. Many federal agencies and U.S. Department of Defense entities have published AI guidance documents. Congress is also exploring the implications of advancements in AI in both the general and federal U.S. workforces. This publication is intended to inform the policymakers and leaders who are tasked with preparing civilian and military workers to create, use, and deploy AI in their jobs. The essays in this publication provide overviews of technical and organizational issues, challenges, and actionable insights to help organizations effectively integrate AI and equip personnel with AI-related skills.
- Contents:
- Chapter 1. Introduction / Rachel Slama, Nelson Lim, Douglas Yeung, eds.
- SECTION A: Integrating AI into the Workforce. Chapter 2. Taxonomy of AI Adoption Risks and Effect on Adoption in the Workforce / Jessie Wang, Jody Chin Sing Wong
- Chapter 3. The AI Ecosystem / Carter C. Price, Madison Williams
- SECTION B: Use Cases
- Applying AI in the Workforce. Chapter 4. Rapid-Development Chatbots for Workforce Training and Support / Timothy R. Gulden, Dwayne M. Butler, Wenjing Huang, Nikolay Maslov, Anton Shenk
- Chapter 5. To Chat or Not to Chat: Using AI to Communicate with Patients and Relieve the Burden on the Health Care Workforce / Skye A. Miner, Rushil Bakhshi, Julia Bandini, Laurie T. Martin
- Chapter 6. Applying AI Tools to Complete Common Human Resource Management Tasks / Sean Robson, Maria C. Lytell, Tracy C. Krueger
- Chapter 7. Navigating the AI Landscape: Choosing the Right Tool for the Job / Ojashwi Pathak, Morgan Sandler, John Vahedi, Kelly Hyde
- SECTION C: Educating and Training the Workforce to Use AI. Chapter 8. Upskilling and Retraining the Federal Workforce for AI Adoption / Elie Alhajjar, Alvin Moon, Mary Lee
- Chapter 9. The Promise of AI to Transform Teaching Will Fail If School Systems Do Not Transform Too / Ivy Todd
- Chapter 10. Helping Postsecondary Education and Training Institutions Overcome Barriers to Preparing the New AI Workforce / Charles A. Goldman, Rita T. Karam, Brandon De Bruhl
- Chapter 11. Leveraging AI in the Military Leader Development Framework / Dwayne M. Butler, Tuyen Dinh, Arianne Collopy
- SECTION D: Building a More Resilient and Diverse AI Workforce. Chapter 12. Retaining Workers with AI Skills in the Federal Workforce / Michael G. Mattock, Avery Calkins
- Chapter 13. Is the Domestic AI Talent Pool Sufficient to Meet Public Sector Demand? / Angela K. Clague, Srikant Kumar Sahoo
- Chapter 14. Building a Diverse Pool of AI Talent for DHS Recruitment / Neeti Pokhriyal, Angela K. Clague
- Chapter 15. Identifying Resilient Skills in an AI-Enhanced Economy / Jonah Kushner, Tobias Sytsma, Éder M. Sousa
- Chapter 16. Engaging the Federal Workforce in AI Implementation / Fernando Esteves, Susan M. Gates
- Chapter 17. Understanding and Addressing Resistance to the Adoption of New Technologies in DoD / Brandon Crosby, Tuyen Dinh
- Chapter 18. Principles on AI Implementation for Federal Leaders / Rachel Slama, Nelson Lim, Douglas Yeung, eds.
- Notes:
- Title from PDF document (Title page; viewed October 2, 2024)
- "OCTOBER 2024"
- Includes bibliographical references
- Description based on electronic resource
- ISBN:
- 1977414060
- 9781977414069
- OCLC:
- 1458849666
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