Description: 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.
Entités
Voir toutes les entitésAlleged: Pakistani political parties , Misinformation networks et Unknown deepfake creator developed an AI system deployed by Pakistani political parties et Misinformation networks, which harmed Rana Atif , Raja Bashara , Naeem Haider Panjutha et Imran Khan.
Statistiques d'incidents
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
Rapports d'incidents
Chronologie du rapport
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
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.
