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.
Entities
View all entitiesAlleged: unknown developed an AI system deployed by Unknown social media accounts, which harmed Voters in Pakistan , PTI (Pakistan Tehreek-e-Insaf) , Imran Khan and 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
Incident Reports
Reports Timeline
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…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.