Creating an API Standard for Election Administration Systems to Strengthen U.S. Democracy
Summary
To bring nationwide access to voter tools, the Biden-Harris administration should direct the National Institute of Standards and Technology (NIST) to establish a standard application programming interface (API) for election administration systems.
Our democracy is most representative when the greatest number of Americans vote, but access is hindered by manual, form-based operations that make it difficult for citizens to register to vote or access a ballot. As Americans faced a global pandemic and an overwhelmed postal service, the 2020 election amplified the importance of digital tools for voters to register, apply for absentee ballots, and track their ballot status. It also highlighted the deficiencies in (or lack of) these capabilities from locality to locality. Further, state legislatures have begun passing sweeping voter suppression measures that further limit ballot access.
With the next federal election rapidly approaching in 2022, the time to take steps at the federal level to expand voting access is now. While proposed legislation would mandate making these functions available online, without incentives or standards, these tools would remain available only on local government websites, which suffer from discoverability and usability hurdles. Creating a standard API for election administration systems will enable civic groups and other outside organizations to create consistent, discoverable and innovative nationwide voter tools that interoperate directly with local voter rolls, resulting in a more participatory electorate and a stronger, more representative democracy.
To fully harness the benefits of AI, the public must have confidence that these systems are deployed responsibly and enhance their lives and livelihoods.
The first Trump Administration’s E.O. 13859 commitment laid the foundation for increasing government accountability in AI use; this should continue
As new waves of AI technologies continue to enter the public sector, touching a breadth of services critical to the welfare of the American people, this center of excellence will help maintain high standards for responsible public sector AI for decades to come.
By creating a reliable, user-friendly framework for surfacing provenance, NIST would empower readers to better discern the trustworthiness of the text they encounter, thereby helping to counteract the risks posed by deceptive AI-generated content.