Create Policies to Help Use A.I. the Right Way
I’ve spent a fair amount of time covering the way fundraisers use A.I. in their work. One concern that comes up time and time again, is whether A.I. use can negatively impact a nonprofit’s reputation, which would ultimately hurt its fundraising. To explore the issue, I spoke to a variety of experts on ethical uses of A.I. and how to guard against practices that can potentially cause harm, such as not saying when images are created by A.I. or not verifying that A.I.-produced content is accurate.
“I’m very hopeful about the promise of A.I. to help nonprofits do amazing things,” Nathan Chappell, a co-founder of Fundraising.AI, told me. “The reality is that we could diminish trust at scale if we use A.I. inappropriately or irresponsibly.”
Unfortunately, few nonprofits have policies to make sure A.I. is being used appropriately: Chappell describes the current state as “very Wild West.” But if more nonprofits put on their good cowboy hats, the A.I. frontier can be tamed.
To create policies for ethical A.I. use for fundraising and other common nonprofit activities, Chappell and others say it’s crucial to start with organizational values, focus on key concerns like privacy, bias, and transparency, and remember that humans, not the technology, should be top of mind in all the work.
Even nonprofits whose leaders don’t intend to use A.I. need to have a policy, says Beth Kanter, a technology consultant and author.
“There’s shadow use going on,” she says. “People aren’t telling their bosses, but they’re using it. And I think that’s where we can run into trouble.”
When nonprofits create policies to use A.I. ethically, organizational values have to be at the core, says Kanter, co-author of The Smart Nonprofit: Staying Human-Centered in an Automated World. For example, if an organization values equity, then A.I.-use policies should start from there.
“You need to have in your acceptable-use policy some kind of value statement: ‘We carefully review A.I.-generated content through an equity lens to avoid perpetrating harmful stereotypes and for accuracy,’” she says. “So that’s the value, but operationalizing it, you might make sure that content’s being reviewed by a diverse team with a diverse point of view.”
The organization’s values are the starting point because they are not going to change; the same can’t be said about technology, says Karen Boyd, director of research at the Policy & Innovation Center.
To learn more about crafting policies for A.I. use, read the rest of my story.