Fundraising.AI
Episode 31
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OVERVIEW
Embrace a future where AI reshapes nonprofit strategies with adaptability and strategic insight!
In today’s episode, Nathan and Scott explore how tools like ChatGPT have evolved over the past 18 months, becoming integral in goal setting and efficiency. With AI now capable of predicting human behavior with 85% accuracy, Nathan and Scott highlight the significance of these advancements, emphasizing the potential to save up to 50% of staff time in organizations.
The discussion includes insights from Conor Grennan’s study, showcasing AI’s remarkable ability to understand and forecast human actions. They contrast this with earlier technologies like Clippy, noting how modern Gen AI offers a much more advanced and nuanced approach. The episode also tackles ethical considerations, addressing concerns about AI’s power to predict and influence opinions with up to 87% accuracy.
Nathan and Scott announce their upcoming book on AI for nonprofits, set to provide a thorough guide for responsible AI use. They reflect on the digital divide and the importance of preparing organizations for AI integration. The episode further explores prompt engineering and conversational AI, recommending resources like Allie Miller’s LinkedIn course.
Concluding with a focus on change management, Nathan and Scott discuss the necessity for adaptability and strategic planning in the nonprofit sector to leverage AI effectively. Their conversation underscores the need for continuous learning and curiosity to stay ahead in the rapidly evolving AI landscape.
EPISODE HIGHLIGHTS
- [01:37] From Novelty to Necessity: The Evolution of GPT in Predicting Human Behavior
- [04:51] How GPTs are Redefining AI and Human Behavior Prediction
- [08:24] Complexities of Human Interaction and Autonomous Technology
- [13:41] AI for Nonprofits: From Skepticism to Strategic Implementation
- [21:47] AI Expertise and Disillusionment
- [25:02] AI Evolution and the Role of Prompt Engineering
- [28:58] Future with Strategic Adaptability and Innovation
TIPS AND TOOLS TO IMPLEMENT TODAY
- Aim to save 50% of staff time using AI tools.
- Use AI's 85% accuracy in predicting behavior to enhance strategies.
- Utilize Gen AI for personalized responses and context understanding.
- Consider the ethical impacts of AI in predicting and manipulating behavior.
- Read upcoming books on AI for nonprofits for comprehensive insights.
- Be aware of and plan for disparities in AI adoption within the nonprofit sector.
- Take courses like Allie Miller's on prompt engineering to enhance your skills.
- Invest in voice assistants and chatbots for better interaction and accuracy.
- Develop a strategic roadmap for AI integration that aligns with organizational values.
- Foster agility and adaptability in your workforce to keep pace with AI advancements.
ADDITIONAL RESOURCES
- Allie K MIller's Linkedin Learning AI Course
- ChatGPT4 accurately predicts human behavior in social experiments at 85%, across genders, races, and political affiliations.
- AI Adoption Is Driving Real Top - And Bottom-Line Impact For Enterprises (Gartner)
- Gen AI is hitting a trough of disillusionment (Gartner Hype Cycle)
- A new AI Pendant created to combat loneliness
- AI-first organizations
- More departures at OpenAI
- OpenAI's GPT-5 is coming out soon. Here's what to expect.
FAVORITE QUOTES
- "AI is not a fad. It's not going away. There will be winners and losers." - Nathan Chappell
- "If you're still debating whether or not we should pay the $30 a month or the $20 a month per user, we have to recognize that we're far behind." - Nathan Chappell
- "The digital divide will be the digital chasm. The winners are those that dive in and get creative." - Nathan Chappell
- "Diversify your work with different tools. Don't put all your eggs into a single basket." - Nathan Chappell
- "Organizations that are going to invest in helping people change are going to be so much further ahead." - Nathan Chappell
- "The difference between the for-profit and nonprofit sectors in AI adoption is like the digital divide. It gets bigger every single day."- Scott Rosenkrans
- "A lot of what has changed since 2018 is that back then, we had to do a lot of education on what AI is. And now it has gone from nothing to everything is AI."- Scott Rosenkrans
- "Not all AI is the same AI. There are differences; different outcomes, different costs to get to results and all that."- Scott Rosenkrans
- "AI is a journey. It's a journey going to evolve. And so you always need to stay up to date on what is the new version that's going to give us 40% more productivity than what we've seen in the past?" - Scott Rosenkrans
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MEET YOUR HOSTS
Nathan Chappell
As a thought leader, public speaker, author and inventor, Nathan is one of the world’s foremost experts on the intersection between Artificial Intelligence and philanthropy. Nathan serves as Senior Vice President of DonorSearch AI, where he leads AI deployments for some of the nation’s largest nonprofit organizations. Nathan’s subject matter expertise has been featured in several publications, including Fast Company, University of Notre Dame and the Association of Healthcare Philanthropy. In 2021, Nathan founded Fundraising.Ai as a member-centric collaboration of nonprofit professionals with a focus on data ethics, data equality, privacy and security, sustainability. Nathan presented the first TEDx on the topic of artificial intelligence and the future of generosity in 2018. Nathan is a member of the Forbes Technology Council and holds a Masters in Nonprofit Administration from University of Notre Dame, an MBA from University of Redlands, a certificate in International Economics from University of Cambridge and a certificate in Artificial Intelligence from MIT.
Scott Rosenkrans
Scott Rosenkrans is the Assistant Vice President of DonorSearch Ai and has been with the organization for three years. He began his journey in the nonprofit sector twelve years ago as a prospect researcher. He quickly became fascinated with data as he noticed the organization that he previously worked for was amassing a wealth of information but was unsure how to efficiently use the data and resources to its full potential. This led him to become interested in predictive modeling and data analytics. During this time, he began to create an immense commitment to delivering tailor-made machine learning models to nonprofits.
The thing that Scott loves most about working for DonorSearch is the ability to prioritize what is best for the client and nonprofit sector above all else. He believes that growth is our most important core value because the DSAi team continuously evolves and brings a unique perspective that provides value to our clients. He stays ahead of industry trends because of his insatiable drive to constantly try out new things.
Favorite nonprofit: Shriner’s Children Hospital because of their extreme commitment to providing exceptional medical care, while also alleviating the financial burdens on families.
