AI for Non Profits Network: Weekly Briefing 04/14

The weekly digest from a network of non-profits. In this week's briefing: GovAI Coalition turns into a non profit; The Volunteer challenge with AI & lots of resources!

In The Briefing this week:

👀 What's Caught our Eye: San José City Council voted unanimously to spin the GovAI Coalition out into an independent nonprofit

💭 Thought for the Week: The Volunteer Problem for Nonprofits Implementing AI

⭐ Interesting News and Funding Calls

🌐 From Across the Network

This newsletter is supported by Whitelabel.ai - helping nonprofits cut through the AI noise with practical tools built for mission-driven teams. Find out more at whitelabel.ai

1) 👀 What Caught Our Eye: The Safety Net for AI in the Public Sector Just Got a Permanent Home

For the past two years, one of the most important AI governance initiatives in the United States has been run almost entirely by volunteers. That changed this week.

On April 7, the San José City Council voted unanimously to spin the GovAI Coalition out into an independent nonprofit - a milestone for an organization that has grown from a single video call with 50 agencies in November 2023 to a network of more than 3,000 members across 900 public agencies.

The coalition’s origin story is instructive. It began when San José’s AI and digital privacy team, frustrated that vendors were reluctant to share information about their products’ data practices, reached out to counterparts in other agencies and found the same concern everywhere. The solution was collective action. The result was a free, openly available library of policy templates, procurement guidance, and AI governance frameworks that any government agency - or nonprofit - can download and adapt.

The coalition’s primary output has been a growing library of practical resources: fact sheets on AI assistants, a public-sector AI skills training playbook, and model documents for procurement and data-sharing agreements. These are exactly the tools that we hear as a network many small and mid-sized nonprofits lack the budget to develop themselves.

The transition to nonprofit status is being funded by the Packard Foundation and will take approximately nine months, with an interim fiscal sponsor in place in the meantime.

As San Diego CIO Jonathan Behnke, a coalition board member, put it: “The current model employs very dedicated volunteers and the transition to a nonprofit will remove some of those constraints and allow dedicated staff to devote more time to delivering value for the coalition membership.”

What this means for your organization: The GovAI Coalition’s resources are free, publicly available, and designed for organizations without dedicated AI staff or legal teams. If your nonprofit has been putting off developing an AI governance policy because it felt too complex or too expensive, this is your shortcut. And watch this space: as the coalition transitions to nonprofit status, opportunities for the social sector to engage directly - and shape the standards being developed - are likely to grow.

2) 💭 Thought for the Week: The Volunteer Problem for Nonprofits Implementing AI

Here is a question that keeps coming up in my conversations with nonprofit leaders across this network: what happens to your volunteers when the admin work disappears?

I’ve been speaking with executive directors and operations leads over the past few weeks - organizations of every size and type, from food banks to arts charities to housing advocacy groups - and a pattern is emerging. Leaders are excited about AI - they’re automating data entry, streamlining intake processes, offloading the scheduling and follow-up emails that used to eat whole afternoons. For teams that have been running on empty for years, the relief is palpable.

But almost nobody is asking the harder question underneath it.

Ask any leader what eats most of their volunteers’ time, and the answer is usually some version of the same list:

• Data entry.

• Sorting donations.

• Fielding intake calls.

• Scheduling.

These are the tasks that consume hundreds of thousands of volunteer hours every year - and they are precisely the tasks AI is now capable of automating, at scale, for a fraction of the cost.

Volunteers are not primarily motivated by a paycheck. They show up because they feel useful, because they want to make a tangible difference, because working alongside a stranger toward a shared goal creates a kind of connection that no chatbot can replicate. Strip away the administrative scaffolding that gives many volunteers their foothold in an organization, and you don’t just lose labor hours. You risk losing people.

This isn’t abstract. The US nonprofit sector relies on roughly 60 million volunteers annually. But that army of people is not simply a source of free labor - and the leaders I speak to know this better than anyone. Volunteers are the civic infrastructure that sustains community connection, public trust, and donor pipelines. Research consistently shows they are among the most likely people to become major donors. The volunteer relationship is, for many organizations, the on-ramp to everything else.

What I’m hearing across the network is that the sector hasn’t yet developed language for this tradeoff, let alone a strategy for managing it. The dominant narrative around AI in nonprofits is almost entirely operational: save time, reduce errors, do more with less. That framing treats volunteers as a means to an end rather than as stakeholders with their own relationship to your mission and their own reasons for showing up.

The opportunity, and I genuinely believe there is one, lies in organizations that redesign their volunteer programmes around relational depth rather than task completion. Mentoring. Advocacy. Storytelling. Community listening. The kind of work that can’t be automated, and shouldn’t be. But that future requires deliberate choices made now, before the efficiency wave reshapes volunteer programmes by default rather than design.

The conversations I’m having across this network give me real cause for optimism. What’s missing is a shared framework for acting on those instincts. If you’re already wrestling with this - or if you’ve found approaches that are working - I want to hear from you. Hit reply.

3) ⭐ Interesting News and Funding Calls

AI companies know they have an image problem. Will funding policy papers and thinktanks dig them out? (The Guardian)

We gave an AI a 3 year retail lease in SF and asked it to make a profit (Andon Labs)

Nonprofit AI Artists Alliance Seeking Community Input (Santa Barbara Independent)

Evaluating Scalability, Reproducibility, and Impact of GenAI and Agentic AI in the Water and Wastewater Sector (The Water Research Foundation)

4) 🌐 From Across the Network

Have an event, case study, gathering or interesting insight you would like to share with the network? Drop us a note by replying to this email.

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