About Access AI Lab
Access AI Lab helps resource-constrained nonprofits adopt AI responsibly.
Access AI Lab is a digital resource platform for small and mid-sized nonprofits that want to use artificial intelligence in practical, safe, and mission-aligned ways.
As AI tools become easier to access, many nonprofits are beginning to use them for drafting, summarizing, fundraising support, volunteer coordination, event planning, and administrative workflows. But responsible AI adoption requires more than access to tools. It also requires clear data boundaries, human review, vendor awareness, staff guidance, and safeguards for the communities nonprofits serve.
Large organizations may have legal, technical, compliance, and data teams to manage these responsibilities. Smaller nonprofits often do not. Access AI Lab exists to help close that gap.
Why We Built This
AI is often described as a low-cost solution for nonprofits facing limited staff, time, and funding. In practice, the story is more complicated.
AI can help teams move faster from a blank page to a first draft, turn meeting notes into action items, summarize information, and prepare outreach or event materials. But these gains often come with new responsibilities: checking accuracy, protecting private information, reviewing tone and context, understanding vendor risks, and deciding when human judgment must remain central.
This creates a governance gap: AI tools are increasingly low-barrier, but the organizational capacity required to use them responsibly is not.
What We Provide
Access AI Lab translates research on nonprofit AI adoption into practical tools that organizations can use directly.
Our resources include:
AI Readiness Self-Assessment
A guided checklist to help nonprofits understand whether they are ready for bounded AI experimentation or need stronger governance guardrails first.
Bias, Privacy & Vendor Risk Matrix
A practical triage tool for evaluating whether an AI use case is low-risk, needs safeguards, requires senior review, or should be avoided.
Workflow Kits
Step-by-step guides for common nonprofit tasks such as grant proposal drafting, newsletter writing, meeting summaries, volunteer onboarding, and event planning.
Lightweight AI Governance Policy
A simple policy template for nonprofits that need basic AI use rules but do not have dedicated legal, compliance, or IT teams.
Research Foundation
Access AI Lab began as a public policy research project at the Goldman School of Public Policy, University of California, Berkeley.
The research examined how resource-constrained nonprofits are adopting generative AI in practice, and why responsible AI adoption is often harder than simply gaining access to tools.
The project draws on qualitative interviews with nonprofit practitioners, funders, digital governance experts, and civic technology stakeholders, combined with academic and institutional research on technology adoption, organizational capacity, responsible AI, and nonprofit infrastructure.
To protect participants, this site presents research findings in aggregated and anonymized form. We do not publish interview transcripts, participant names, organization-identifying details, or identifiable case descriptions.
Our Goal
Our goal is not to encourage nonprofits to use AI everywhere.
Our goal is to help nonprofits make better decisions about where AI is useful, where it is risky, and what safeguards are needed before adoption expands.
Access AI Lab is for nonprofits that want to move carefully, practically, and responsibly without being overwhelmed by legal or technical complexity.