Deploying AI to Drive Nonprofit Impact is a self-paced online course built from the Wiley title of the same name.

What this course covers

About the Book
Acknowledgments
Part I: Introduction to AI: Laying the Foundation for Responsible Adoption
Chapter 1: The Future Is Now: AI 101, the Basics
Chapter 2: Before You Get Started
Chapter 2.1: Understanding the AI Adoption Life Cycle
Chapter 3: 90-Day Blueprint for AI Success
Chapter 3.1: Key Ingredients for AI Adoption Success
Chapter 4: Adapting and Thriving in the Age of AI
Chapter 4.1: Predictive Medical Analytics Case Study: Michael J. Fox Foundation and Sensoria Health
Chapter 5: How to Sell AI Upstream and Downstream Within Your Organization
Chapter 5.1: AI as Your Institutional Memory
Chapter 6: AI and Technology Planning: Figuring Out Your Tech
Chapter 6.1: Guidelines for AI Vendor Selection
Chapter 7: Prompt Engineering: Asking AI the Right Questions
Chapter 7.1: Introducing Arnold, the StaffBot: Lung Cancer Foundation of America Case Study
Part II: Fundraising: Strengthening Relationships, Not Replacing Them
Chapter 8: Prompting Next Gen Donors to Give
Chapter 9: Donor Research
Chapter 9.1: Political Fundraising
Chapter 10: The Future of Philanthropy: AI and Donor Engagement
Chapter 10.1: CRM 2.0: The Road Map Ahead
Chapter 11 Peer-to-Peer Fundraising and Ambassador Engagement
Chapter 12: Foundation Prospecting
Chapter 13: Grant Writing and Reports
Chapter 13.1: Securing Funding for Your AI Upgrades
Part III: Marketing and Community Engagement: Building More Meaningful Relationships Through AI
Chapter 14: Audiovisual (AV) Content Creation
Chapter 14.1: Translation
Chapter 15: Social Listening
Chapter 15.1: Using Machine Learning to Segment Your Lists
Chapter 15.2: Social Media Analysis
Chapter 15.3: Volunteer Recruitment and Management
Chapter 16: Community Engagement
Chapter 17: Lobbying and Advocacy
Part IV: Programs: Redefining Mission Delivery with AI
Chapter 18: Preparing for AI Integration
Chapter 18.1: Leveraging Emerging Technology: Save the Children Case Study
Chapter 19: Strategic Planning
Chapter 20: Dashboarding: Impact Measurement and Data Visualization
Chapter 20.1: Program Evaluation
Chapter 20.2: Ensuring Data Quality
Chapter 21: Developing Your Own Custom Large Language Model
Chapter 22: Public-Facing Chatbots
Chapter 23: Dealing with Mis/Disinformation
Part V: The Invisible Backbone: Transforming Back-Office Operations with AI
Chapter 24: Human Resources
Chapter 25: Finance and Bookkeeping
Chapter 26: Board Recruitment and Engagement
Chapter 26.1: Recruiting Tech Executives to Your Board
Chapter 27: IT Infrastructure and Software: The Tech Stack Needed to Support AI Integration
Part VI: Policies and Protections: Safeguarding the Mission and Avoiding Trouble in the Age of AI
Chapter 28: Cybersecurity in the Age of AI
Chapter 29: Enhancing Legal Operations and Compliance
Chapter 30: Data Privacy and Ethical AI Adoption
Part VII: AI Across Missions: Innovating for Philanthropy, Social Enterprise, and Higher Education
Chapter 31: Foundations and Philanthropy
Chapter 31.1: Best Practices in Funding Nonprofit Technology
Chapter 32: Social Enterprises and Mission-Driven Companies
Chapter 33: Higher Education
Closing Thoughts
Afterword
Book Underwriters
AI for Nonprofits Resource Directory
About the Editors
Glossary of Terms
Name Index
Subject Index