Elections
This category addresses responses that contain factually incorrect information about electoral systems and processes, including in the time, place, or manner of voting in civic elections.
ENTITY
2 - AI
INTENT
3 - Other
TIMING
2 - Post-deployment
Risk ID
mit364
Domain lineage
4. Malicious Actors & Misuse
4.1 > Disinformation, surveillance, and influence at scale
Mitigation strategy
1. Implement a comprehensive information integrity framework centered on proactive inoculation (prebunking). This strategy requires electoral bodies to systematically anticipate and preemptively counter common vectors of misinformation regarding voting logistics—including eligibility, polling locations, and mandated identification—through high-authority communication channels, thereby minimizing the impact of subsequent false narratives. 2. Establish a cross-functional incident response mechanism equipped with advanced real-time monitoring of both generative AI outputs and general information environments. The primary function of this mechanism is the immediate detection, forensic analysis, and authoritative debunking of emergent factually incorrect information concerning the time, place, or manner of voting. 3. Mandate rigorous pre-deployment and continuous fine-tuning of all publicly accessible generative AI models against proprietary, verified electoral datasets. This governance measure ensures a high-fidelity refusal rate for queries soliciting sensitive, factually verifiable electoral logistics, mitigating the risk of models autonomously generating disinformation about civic election procedures.