Description: An analysis reportedly found that multiple AI models provided inaccurate responses to election-related questions, with 52% of Spanish-language answers and 43% of English-language answers containing misinformation or omissions. Errors included misidentifying voting processes and providing information about foreign elections.
Entities
View all entitiesAlleged: Anthropic , Google , Meta , OpenAI , Mistral , Claude 3 , Gemini 1.5 Pro , ChatGPT 4 , Llama 3 and Mixtral 8x7B developed and deployed an AI system, which harmed Spanish speakers , Spanish-speaking American voters , U.S. electorate , Democracy and Electoral integrity.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.3. Unequal performance across groups
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Discrimination and Toxicity
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline

If you ask Google’s AI chatbot, Gemini, about voter fraud in English, it starts off by correctly telling you that such fraud is “incredibly rare,” and gives you a list of topics that are “more productive to consider,” like voter suppression…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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