Incidente 859: translated-es-AI Models Reportedly Found to Provide Misinformation on Election Processes in Spanish
Descripción: translated-es-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.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Anthropic , Google , Meta , OpenAI , Mistral , Claude 3 , Gemini 1.5 Pro , ChatGPT 4 , Llama 3 y Mixtral 8x7B, perjudicó a Spanish speakers , Spanish-speaking American voters , U.S. electorate , Democracy y Electoral integrity.
Sistemas de IA presuntamente implicados: Claude 3 , Gemini 1.5 Pro , ChatGPT 4 , Llama 3 y Mixtral 8x7B
Estadísticas de incidentes
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
Informes del Incidente
Cronología de Informes
Si le preguntas al chatbot de inteligencia artificial de Google, Gemini, sobre el fraude electoral en inglés, comienza diciéndote correctamente que ese fraude es “increíblemente raro” y te da una lista de temas que es “más productivo consid…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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