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Incidente 866: Network of 171 AI-Powered Bots Reportedly Spread Political Disinformation Ahead of Ghana’s December 2024 General Election

Descripción: A network of 171 bot accounts on X are alleged to have used ChatGPT to generate political content supporting Ghana’s New Patriotic Party (NPP) and its presidential candidate, Mahamudu Bawumia, ahead of the December 2024 election. The AI-generated posts reportedly praised Bawumia while spreading disinformation targeting the opposition candidate, John Mahama, of the National Democratic Congress (NDC).
Editor Notes: Reconstructing the timeline of events: (1) February 2024: The network of 171 bot accounts is reported to have become active by regularly generating and disseminating political content favoring Ghana’s New Patriotic Party (NPP) and its presidential candidate, Mahamudu Bawumia. The posts reportedly used hashtags like #Bawumia2024 and #ItIsPossible to amplify pro-NPP messaging while disparaging opposition candidate John Mahama with hashtags like #Mahamaisaliar and #DrunkmaniMahama. (2) October 2024: OpenAI reported disrupting over 20 political influence networks worldwide that used ChatGPT to generate political content, though this network targeting Ghana’s election is reportedly not specifically mentioned in its statement. (3) November 12, 2024: NewsGuard releases research findings identifying the 171 bot accounts as likely using ChatGPT to generate political posts. According to NewsGuard, the bots were found to operate with regimented patterns, posting 10 or more times per day during Ghanaian business hours. (4) December 2024: As the presidential election approached on December 7, the bot accounts continued to be active. NewsGuard shared its findings with X and OpenAI, but only four of the 171 accounts were reported to have faced action, with two suspended and two restricted. (8) The Wikipedia article on this election is located at https://en.wikipedia.org/wiki/2024_Ghanaian_general_election.

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Alleged: OpenAI developed an AI system deployed by Pro-New Patriotic Party bot network, which harmed John Mahama , National Democratic Congress , Ghanaian electorate , Democracy y Electoral integrity.
Sistemas de IA presuntamente implicados: ChatGPT y X (Twitter)

Estadísticas de incidentes

ID
866
Cantidad de informes
1
Fecha del Incidente
2024-02-01
Editores
Daniel Atherton
Applied Taxonomies
MIT

Clasificaciones de la Taxonomía MIT

Machine-Classified
Detalles de la Taxonomía

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

4.1. Disinformation, surveillance, and influence at scale

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.
 
  1. Malicious Actors & Misuse

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

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
 

Intentional

Informes del Incidente

Cronología de Informes

Incident OccurrenceLas cuentas falsas de X están interfiriendo en las elecciones de Ghana
Las cuentas falsas de X están interfiriendo en las elecciones de Ghana

Las cuentas falsas de X están interfiriendo en las elecciones de Ghana

restofworld.org

Las cuentas falsas de X están interfiriendo en las elecciones de Ghana
restofworld.org · 2024
Traducido por IA

A medida que Ghana se acerca a sus elecciones presidenciales el 7 de diciembre, los investigadores han descubierto una red de 171 cuentas de bots en X que usan ChatGPT para escribir publicaciones favorables al partido político en el poder, …

Variantes

Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.

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