As AI-powered meeting tools become increasingly common, foundations face new questions around privacy and information security. This sample policy from Rooted Philanthropic (approved July 2025) offers a practical, real-world example of how to address these challenges — covering internal meetings, external meetings, and accessibility accommodations. Read More
Across the nonprofit sector, an enormous amount of time is spent on grant applications that will never be funded. Some of that is unavoidable. A lot of it isn’t. When application processes are more complex than they need to be, the burden falls on the nonprofits least equipped to handle it, and the real value of... Read More
The 2026 Foundation Operations and Management Report is available now! This is the only resource of its kind for foundations operating with few or no staff. The full Foundation Operations and Management Report offers key philanthropy benchmarks and long-term data on the evolution of lean foundations. Based on our annual survey of members, this report... Read More
Artificial intelligence—particularly large language models (LLMs), which are trained on large amounts of text to generate written responses to prompts —such as ChatGPT or Claude—is becoming an increasingly common part of nonprofit and philanthropic work. These tools offer new possibilities for research, communication, and efficiency, while also raising important questions about accuracy, bias, data privacy,... Read More
Artificial intelligence—particularly large language models (LLMs), AI tools trained on large amounts of text to generate written responses—are becoming a more common part of nonprofit and philanthropic work. For foundations, these tools can support research, drafting, and internal analysis, while also prompting critical questions: What new risks does AI introduce, and how should governance and... Read More
These Artificial Intelligence Guidelines outline the Longview Foundation’s approach to the responsible, ethical, and secure use of AI across staff workflows. The document supports thoughtful experimentation with AI while protecting confidentiality, data integrity, and human judgment. Key elements include: Appropriate Use – Defines where AI can support efficiency and insight, and where human judgment is... Read More