Description: A purported deepfake audio clip, falsely attributed to Imran Khan urging a PTI (Pakistan Tehreek-e-Insaf) election boycott, circulated on social media on the eve of Pakistan's general elections. This sophisticated AI-generated misinformation aimed to mislead voters, highlighting the growing challenge of digital manipulation in political discourse.
Entités
Voir toutes les entitésAlleged: unknown developed an AI system deployed by Unknown social media accounts, which harmed Voters in Pakistan , PTI (Pakistan Tehreek-e-Insaf) , Imran Khan et Democracy.
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
On February 7, 2024, just a day before Pakistan's highly anticipated general elections, from which former Prime Minister Imran Khan was barred because of a graft conviction, a voice recording alleged to be of the imprisoned popular leader c…
In the run-up to Pakistan's general elections this month, the country's 128 million voters were exposed to disinformation, including through artificial intelligence and deepfake videos.
Aside from a much talked about AI video of former Prim…
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.