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5 Key Takeaways: AI Tools Training for Nonprofits
PostedEarlier this month, LA2050, an initiative of the Goldhirsh Foundation, hosted Hands-On AI Training for Nonprofits, an interactive seminar that aimed to equip nonprofit leaders and staff with practical artificial intelligence skills to enhance their work.
AI, especially as related to ethics and community impact, is a topic the Goldhirsh Foundation has been tracking since 2019. (Learn more, including about a similar session held last year.)
The recent gathering, held March 12 at LA Más Headquarters, was led by Jen García, AI executive in residence at the Goldhirsh Foundation. 48 nonprofit leaders and staff members from past and current winners of the LA2050 Grants Challenge participated.
With a focus on real-world applications, García guided participants through the use of AI tools for research, impact measurement, data analysis, donor engagement, and more. Attendees engaged in hands-on exercises, including learning how to train a marketing-focus GPT using their own data. The training concluded with a breakout discussion exploring innovative AI applications in the nonprofit sector, along with a demo of the newest tools for research and agentic task completion.
Here are five key takeaways from the training that all nonprofit professionals should know, as shared by García:
- Keep responsible AI top of mind, especially sustainability. Having access to AI tools has the potential to supercharge nonprofits, but conscious energy use should drive all queries.
- Ethical AI use includes considering critical thinking implications and staff development. In order to retain critical thinking skills and support the development of your junior staff’s skills, carefully decide when to leverage AI tools and when to forgo them.
- AI tools with voice mode can help you ideate program development and more. With an AI tool’s voice mode, discuss an idea that you’d like feedback on before presenting it to your staff or Board. Prompt the AI tool to ask you clarifying questions one-by-one to refine your idea, and then to analyze the pros and cons critically.
- Human oversight is crucial. Also known as “human in the loop,” a thorough review of each AI tools’ output is needed to not only ensure accuracy, but also your intention and voice.
- Workflows often include layering several AI tools. No perfect, go-to tool exists, so get creative with your workflows and use the best tool for each task. This is also known as your “tech stack” of AI tools.

Photos: Top: Jen García (standing) works with participants. Bottom: Three participants converse during the event.