Descripción: During Pakistan's 2024 general elections, politically motivated AI-generated deepfakes were circulated. These deepfakes falsely portrayed political figures in misleading contexts, spreading misinformation and aiming to influence voter perceptions and election outcomes.
Entidades
Ver todas las entidadesAlleged: Pakistani political parties , Misinformation networks y Unknown deepfake creator developed an AI system deployed by Pakistani political parties y Misinformation networks, which harmed Rana Atif , Raja Bashara , Naeem Haider Panjutha y Imran Khan.
Estadísticas de incidentes
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.
- 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
Pakistan's general elections 2024 were held amid the absence of internet services and mobile phone signals sparking concerning statements from global institutions including the U.S., the UK, the European Union (EU), and Amnesty Internationa…
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.
