Description: On the eve of Chicago's mayoral election, a deepfake video impersonating candidate Paul Vallas was posted to Twitter, showing a fake audio of him making inflammatory statements. The video was viewed thousands of times before being taken down. The Vallas campaign condemned the video, calling it a deceptive impersonation.
Entities
View all entitiesAlleged: Unknown deepfake creators developed an AI system deployed by Chicago Lakefront News, which harmed Paul Vallas , Paul Vallas's campaign and Chicago voters.
Incident Stats
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
CHICAGO (CBS)-- On the eve of Chicago's mayoral election, the Paul Vallas campaign is denouncing what they're calling a "deceptive impersonation video" posted to Twitter.
The deepfake was viewed thousands of times before it was taken down.
…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.