Nonprofit AI
eBook - PDF

Nonprofit AI

A Comprehensive Guide to Implementing Artificial Intelligence for Social Good

  1. 275 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Nonprofit AI

A Comprehensive Guide to Implementing Artificial Intelligence for Social Good

About this book

A hands-on roadmap to implement Artificial Intelligence in your nonprofit organization

You've probably done everything in life that you were told to do: get educated, secure a job, work hard and be careful with money. And where did that lead you? Straight to the middle! But weren't you made for more?

In Nonprofit AI: A Comprehensive Guide to Implementing Artificial Intelligence for Social Good, a team of veteran artificial intelligence (AI) experts from the nonprofit sector delivers an insightful and practical overview of how purpose-driven organizations can use AI to increase their impact and advance their missions. The authors offer an all-encompassing guide to understanding the promise and peril of implementing AI in the nonprofit sector, addressing both the theoretical and hands-on aspects of this necessary transformation.

The book provides you with case studies, practical tools, ethical frameworks and templates you can use to address the challenges of AI adoption – including ethical limitations – head-on. It draws on the authors' thirty years of combined experience in the nonprofit industry to help you equip your nonprofit stakeholders with the knowledge and tools they need to successfully navigate the AI revolution.

You'll also find:

  • Innovative and proven approaches to responsible and beneficial AI implementation taken by real-world organizations that will inspire and guide you as you move forward
  • Strategic planning, project management, and data governance templates and resources you can use immediately in your own nonprofit
  • Information on available AI training programs and resources to build AI fluency and capacity within nonprofit organizations.
  • Best practices for ensuring AI systems are transparent, accountable, and aligned with the mission and values of nonprofit organizations.

Perfect for anyone interested in enhancing their nonprofit organization with the thoughtful, responsible, and beneficial integration of AI technologies, Nonprofit AI is a must-read for nonprofit directors, managers, fundraisers, employees, consultants, volunteers, and other stakeholders.

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Yes, you can access Nonprofit AI by Nathan Chappell,Scott Rosenkrans in PDF and/or ePUB format, as well as other popular books in Business & Nonprofit Organizations & Charities. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2025
Print ISBN
9781394316649
eBook ISBN
9781394316663

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Our Commitment to Responsible and Beneficial AI in Writing Nonprofit AI
  6. Introduction
  7. Chapter 1 The Need for Innovation in the Nonprofit Sector Has Never Been Greater
  8. Chapter 2 AI Deconstructed: Separating Myth, Hype, and Reality
  9. Chapter 3 AI Fluency and the Future Nonprofit Workforce
  10. Chapter 4 The AI-First Nonprofit
  11. Chapter 5 AI for Program Development and Impact Measurement
  12. Chapter 6 AI for Fundraising, Resource Development, and Donor Experience
  13. Chapter 7 AI for Volunteer Engagement and Management
  14. Chapter 8 AI for Nonprofit Marketing and Communications
  15. Chapter 9 AI for Administration and Human Resources
  16. Chapter 10 AI Transformation Is a Journey, Not a Destination
  17. Chapter 11 Beyond AI Ethics: The Nonprofit Sector’s Imperative for Responsible and Beneficial AI
  18. Chapter 12 Evaluating AI for Nonprofits
  19. Chapter 13 Humanity or Utility? New Questions for a New World
  20. Chapter 14 Overcoming Challenges in AI Adoption
  21. Chapter 15 Building an AI Strategy for Your Nonprofit
  22. Chapter 16 Training and Capacity Building
  23. Chapter 17 The Future of AI for Nonprofits
  24. Chapter 18 Parting Thoughts
  25. Appendix: Resources for AI Governance Templates and Frameworks
  26. Glossary
  27. References
  28. About the Authors
  29. Index
  30. EULA