Fundraising.AI
Episode 7
Episode7: AI's Moral Landscape in Nonprofit Realms
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OVERVIEW
This episode delves into the complexities and implications of responsibly integrating artificial intelligence within the nonprofit sector, reflecting the importance of trust, verification, and ethical considerations when leveraging AI technologies.
Today’s conversation spans a range of topics, from the evolution of AI technology over the years to the industry’s current state. Nathan shares his experience delving into historical archives to uncover the origins of AI research, highlighting the astonishing progress made since the nascent days of the field.
The conversation then shifts towards recent developments in the AI landscape, including the meteoric rise of companies like Nvidia and the ethical implications of their innovations. Nathan and Scott analyze the motivations behind Elon Musk’s actions in AI, offering thought-provoking perspectives on the intersection of profit-driven endeavors and ethical responsibility.
As they dissect the nuances of responsible AI, the discussion touches upon the role of corporations and VCs in shaping ethical frameworks and industry standards. They explore the tension between profit motives and humanitarian goals, emphasizing the importance of trust, verification, and transparency in AI development and deployment.
The episode concludes with a call to action for listeners to critically evaluate the ethical implications of AI technologies and advocate for responsible practices in the industry. Furthermore, Nathan and Scott underscore the need for continuous dialogue, collaboration, and vigilance to ensure that AI serves humanity’s betterment.
EPISODE HIGHLIGHTS
- [01:25] Exploring the Evolution of AI, Chips, and Global Politics
- [06:41] Behind the AI Curtain: Navigating the Tech Industry's Turbulent Waters
- [11:39] Profit vs. Ethics in the Age of Technology
- [20:55] Verify, Trust, Act: Charting a Course for Responsible AI in Nonprofits
TIPS AND TOOLS TO IMPLEMENT TODAY
- Utilize AI summarization tools to condense lengthy articles or documents into concise summaries.
- Verify the sources and content before fully trusting them.
- Stay updated on developments in AI ethics and responsible AI practices.
- Explore the concept of a safe harbor for AI testing, which allows for the responsible testing of AI systems without unnecessary legal risks.
- Engage in dialogue and advocacy efforts surrounding AI ethics and responsible AI.
- Critically evaluate existing AI frameworks and guidelines to ensure they align with the goals and values of your organization.
- Consider customizing or supplementing existing frameworks to better suit your needs and priorities.
- Be cautious of misinformation and misleading narratives, especially in complex and rapidly evolving fields like AI.
- Verify information from multiple reliable sources before forming opinions or making decisions.
- Foster a culture of collaboration and transparency within your organization and with external stakeholders regarding AI ethics.
FAVORITE QUOTES
- "We have to hold ourselves to a higher level of accountability and responsibility. We have to verify then trust instead of trust and verify." - Nathan Chappell
- "This is where we get into responsible and beneficial AI. Not just be responsible, which is based on an ethical framework. Be responsible and beneficial; beneficial to humanity at large." - Nathan Chappell
- "Nonprofit, by definition, is essentially exchanging something for nothing. So that requires a tremendous amount of trust." - Nathan Chappell
- "We are fundamentally different as a charitable giving sector. That sector relies primarily on trust; so how can our framework for Responsible AI look the same as Open AI."- Nathan Chappell
- "Every week is a big week in AI because you blink and like all these things happen." - Nathan Chappell
- "Fundamentally, for-profit businesses, by design, are created to return a profit to shareholders. If you use AI to save the world, this letter essentially says we will put humanity first. But they cannot put humanity first by design; safety will always come after." - Nathan Chappell
- "Do not defer your comfort in AI to the maker of AI whose number one objective is profit." - Nathan Chappell
- "Trust is the operative word in fundraising." - Nathan Chappell
- "It doesn't stay the same. It changes. Sometimes, it evolves. I think these tools that we're relying on; they're changing all the time." - Scott Rosenkrans
- "Salesforce is committed to the pledge of doing AI right and beneficial. That is its commitment. That definition is very boost. I think about what we've done with funders and AI, there's a lot of comments on our framework, or it's too restrictive." - 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.
