The AI Implementation Guide for L&D
Autor Megan Torranceen Limba Engleză Paperback – 2 iun 2026
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Specificații
ISBN-10: 1963392299
Pagini: 244
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.36 kg
Editura: Association for Talent Development
Notă biografică
Megan Torrance is the CEO and founder of TorranceLearning. During her more than two decades of leadership, the firm has grown, serving Fortune 1000 companies, major research universities, global professional associations, and the federal government. TorranceLearning was named to the Michigan 50 Companies to Watch list in 2018. Torrance’s strategic vision has enabled TorranceLearning to influence millions of workplace learners worldwide, reflecting her deep commitment to transformative corporate education. She’s the author of Agile for Instructional Designers (2019) and Data and Analytics for Instructional Designers (2023). She’s also an adjunct instructor of learning design and technology at Penn State University. Torrance lives in Ann Arbor, Michigan.
Cuprins
Foreword
Preface
Introduction
Part 1. AI in L&D
Chapter 1. Adopting and Accepting Technology Innovation
Chapter 2. Defining AI Impact Zones for Learning and Development
Chapter 3. The W.I.S.E. A.T. A.I. Framework
Part 2. Engaging With AI Implementations
Chapter 4. The AI Implementation Canvas
Chapter 5. Business Alignment and Value Proposition
Chapter 6. AI Readiness
Chapter 7. Workforce Impact and Talent Planning
Chapter 8. Regulatory and Legal Environment
Chapter 9. AI Technology and Data Architecture
Chapter 10. User Experience and Workflow Integration
Chapter 11. AI Systems Governance
Chapter 12. Experimentation and Pilots
Chapter 13. Scaling and Integration
Chapter 14. Measurement and Impact
Chapter 15. Change Management and Adoption
Chapter 16. AI Literacy and Upskilling
Chapter 17. Social Engagement
Chapter 18. Fairness, Bias Mitigation, and Human Protection
Chapter 19. Using the AI Implementation Canvas
Part 3. Getting Ready
Chapter 20. Thinking in Tetrads: Acknowledging Downstream Impacts of AI Implementations
Chapter 21. Managing AI Implementation Projects Using Agile
Chapter 22. Measuring Impact in AI Implementations Through Data
Chapter 23. Getting Your Organization and People Ready
Chapter 24. Attuning to Power Dynamics and L&D’s Role in AI Implementation
Chapter 25. Working With Vendors for Strategic Partnership, Not Just Procurement
Chapter 26. Moving From Understanding to Action
Acknowledgments
Appendix A. Support for Book Clubs
Appendix B. Resources for Implementation and Action