AI Models Reportedly Found to Provide Misinformation on Election Processes in Spanish

October 30, 2024

A recent analysis reveals that several AI models offered incorrect information regarding election procedures, with 52% of Spanish responses and 43% of English responses containing errors or omissions. The errors encompassed misidentifying voting processes and providing details about foreign elections.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.666, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.662, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.659, rank 3. TAIM detail and related incidents →

Alleged deployer: anthropic, google, meta, openai, mistral
Alleged developer: anthropic, google, meta, openai, mistral
Alleged harmed parties: spanish-speakers, spanish-speaking-american-voters, u.s.-electorate, democracy, electoral-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/859

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.