Voter rolls are dynamic: people move, die, or change names, which requires constant updating. However, when large-scale removals occur (e.g., 300,000 voters dropped) or changes are isolated to geographic or demographic populations, the lack of independent validation can erode public confidence. One side may believe eligible voters were wrongly purged, while the other may believe ineligible people are voting—without clear evidence, both sides are left in doubt to question electoral outcomes. Confidence in election results fades.

rollcallAI helps restore trust by being a non-partisan, data-driven watchdog that provides visibility into changes in voter registration data.

rollcallAI uses advanced analytics, machine learning, and high-quality data to:

• Monitor changes in voter rolls over time.
• Detect significant shifts in status changes and removals.
• Identify anomalies or irregular maintenance activity.
• Cross-reference changes with reliable third-party data sources to verify accuracy.
• Generate alerts and reports about patterns in voter data that could affect electoral access.

rollcallAI consists of several key components:

• Automated data ingestion: Continuously imports voter registration and other public data.
• Change detection algorithms: Compares week-over-week or month-over-month data to identify statistically significant changes.
• Identifies key changes at the state and local level and within different demographic groups to assess fairness or electoral impacts.
• Classification models: Helps distinguish routine list maintenance from challenges and potentially irregular purges or errors.
• VoteFlare integration: Notifies voters directly (via text, email, or voice) about critical changes to their registration status, when available.