Description: An AI-generated deepfake video featuring Jennifer Aniston falsely promoting collagen supplements circulated on Facebook, misleading viewers about her involvement. The video, created without her consent, used footage from a previous roundtable interview, modified by AI to advertise health products.
Entities
View all entitiesAlleged: Unknown deepfake technology developer developed an AI system deployed by Unknown deepfake creators and scammers, which harmed Jennifer Aniston , Jennifer Aniston fans and Facebook users.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
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
It’s scary when you realize we’re all living in a sci-fi movie — and the one we’re watching right now stars Jennifer Aniston; she just might not know it yet. A video has gone viral on Facebook showing Aniston chatting animatedly to Nicole K…
Despite recently signed legislation in California, artificial intelligence deepfakes of celebrities are as prevalent as ever.
One of the most recent has been a clip of Jennifer Aniston that appeared on Facebook, showing her speaking about b…
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.
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