Responsible AI in the Nonprofit Sector with Nathan Chappell

In this episode of the Agents of Nonprofit podcast, we're joined by Nathan Chappell to discuss the world of AI and its impact on fundraising for nonprofits. Nathan provides an overview of AI, highlighting subsets such as machine learning, deep learning, and generative AI. The discussion focuses on the concept of hallucinations in AI models, drawing parallels to human interpretations and emphasizing the role of AI as a tool to augment human thought processes rather than replace them.We explore the role of AI in the nonprofit sector, emphasizing the decreasing cost of computing and the need for nonprofits to embrace AI to create efficiency and meet donor demands. Privacy and security concerns are discussed, highlighting the delicate balance between sharing data for beneficial results and maintaining privacy.Topics We Cover:An introduction to AI and its subsets: machine learning, deep learning, and generative AI.The concept of hallucinations in AI and its relation to human interpretations.Challenges of training AI models: bias, ethics, and the responsibility of AI companies.The role of AI in the nonprofit sector: affordability, efficiency, and meeting donor expectations.Privacy and security concerns in utilizing AI for nonprofits.Responsible AI practices: trust, privacy, security, ethics, and equity in data.Addressing the decline in nonprofit donations through precision and personalization with AI.To Learn More and Connect with Nathan:Nathan Chappell on LinkedInFundraising.AIFundraising.AI on LinkedInSupport the Show.