Fundraising.AI
Episode 21
Episode 21 - AI Governance: Harmonizing Standards in a Fragmented World
WATCH ON YOUTUBE
Listen To The Episode
OVERVIEW
Tune in to stay up-to-date on the latest in AI technology and its impact on the fundraising sector and hear firsthand insights from one of the most significant AI conferences in the world!
In this exciting episode of the Fundraising AI Podcast, Nathan Chappell and Scott Rosenkrans explore the latest AI breakthroughs and discuss the challenges and opportunities they present. Also, they share insights from their experiences at the summit, highlighting key technological advancements such as ElevenLabs’s AI-generated music and the groundbreaking features of OpenAI’s GPT-4.0, including its improved voice capabilities and continuous dialogue function.
The discussion then shifts to Google’s recent release of Gemini, a new version of their AI, which has already encountered significant issues with safety and accuracy. It serves as a segue into a broader conversation about the need for robust AI governance and standards. However, reflecting on their participation in the summit, Nathan and Scott express optimism and concern about the future of AI regulation. They also discuss the tension between the rapid pace of AI development and the need for effective governance. Furthermore, Nathan and Scott provide a candid look at the complexities of creating global standards for exponentially advancing technology and emphasize the importance of collaborative efforts in addressing these challenges during the discussion.
EPISODE HIGHLIGHTS
- [02:27] AI's Musical Evolution
- [08:01] The Rise of AI Personal Assistants
- [15:50] Bridging the Gap Between Innovation and Responsibility
- [19:25] Governance in AI: Tension Between Scale and Safety
- [23:48] Reflections on AI Governance at AI for Good Global Summit
TIPS AND TOOLS TO IMPLEMENT TODAY
- "AI is a fairly significant existential threat to humanity. Therefore, it should require some regulation and standardization." - Nathan Chappell
- "The concern is that those organizations probably aren't as equipped to take action at the required speed." - Nathan Chappell
- "We fundraising.ai are many steps ahead. We not only identified the need but also created a framework that had a lot of input. We understand the governance structure of the framework that has to be updated." - Nathan Chappell
- "Inclusion is one of many other variables required for responsible, beneficial AI. " - Nathan Chappell
- "The concern is that organizations probably aren't as equipped to take action about AI at the required speed." - Nathan Chappell
- "It went from hearing the song two weeks ago and thinking it's incredible, and now conferences are completely done by AI music." - Scott Rosenkrans
- "GPT-4 Omni is much faster. It's now reasoning across voice, text, and vision, incorporating everything. It's two times faster and cheaper than GPT-4, signing on the API. And I use the API with Zapier integration right now." - Scott Rosenkrans
- "I did have my own Gartner hype cycle, leading up to data governance, and I'm like, holy crap, this is going to be awesome." - Scott Rosenkrans
- "I always go back to the comments from OpenAI's leadership about what we have access to now, which is laughable compared to what they're testing. You develop this relationship with AI that they will consider like, this is child's play." - Scott Rosenkrans
- "AI voices can be interrupted; it's able to laugh at itself. It is really like talking to a human." - Scott Rosenkrans
FAVORITE QUOTES
- "In the IMF reports that showed that 60% of all jobs in developed nations are going to be changed, not replaced but changed in some way by AI, I think that causes a lot of that fear." - Nathan Chappell
- "You don't even need to give it anything by using vision computing; just put all the auction items on the table, take a photo of it, load that photo in the Chat GPT, and say, write an auction. It will do it phenomenally well." - Nathan Chappell
- "Predictive AI is about efficiency. It's about taking lots of data and creating precision from it. But generative AI is really about helping you do your work better." - Nathan Chappell
- "Hallucination was a big concern about large language models and Gen AI for a while, but it is becoming less and less of a concern." - Nathan Chappell
- "Generative AI is really about helping you do your work better. So with a higher degree of accuracy, faster, you're saving time, and also with less burnout." - Nathan Chappell
- "Even though ChatGPT is writing out draft emails for me automatically, I'm not just taking them and running with it." - Scott Rosenkrans
- "Leverage what you're good at, but draw from things that you don't want to do." - Scott Rosenkrans
- "LLMs are predicting what the next best word is going to be. And sometimes they predict words that sound good but aren't accurate." - Scott Rosenkrans
- "You need something to get started and then make some of those tweaks along the way." - Scott Rosenkrans
- "Automating saves me time. And it helps me to keep track of stuff.” - Scott Rosenkrans
Other Episodes You Might Enjoy
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.
