A conversation on artificial intelligence tailored for election practitioners and administrators. Using the National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF) as our guide, we focus specifically on the Measure phase.
The Measure function is about analysis and evaluation: examining how AI systems actually perform, whether they behave as intended, and what the evidence tells you about the tools you're using.
Topics covered include:
How do you know if it's working? Practical approaches to testing and evaluating AI tools in the context of election administration — not just at launch, but over time.
What should you be measuring? Identifying the right indicators for your office: accuracy, consistency, fairness across voter populations, and how outputs compare to expectations.
Who needs to know what you find? How to communicate findings to leadership, staff, and the public in ways that support transparency and trust.
A grounded, jargon-free conversation about moving from identifying AI use to actually understanding it.
This is the third of a four-part series breaking down the NIST AI RMF: Govern, Map, Measure, and Manage.
Originally posted on the AI and Elections Substack, May 14, 2026. Read the original ↗