Description: A deepfake video falsely depicted President Ferdinand Marcos Jr. of the Philippines ordering an attack on China, exacerbating tensions in the West Philippine Sea. The video, designed to mislead, was promptly debunked by the Presidential Communications Office.
Entities
View all entitiesAlleged: unknown developed and deployed an AI system, which harmed Ferdinand Marcos Jr. , Government of the Philippines , Philippines and General public.
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
MANILA, Philippines --- Amid simmering tensions in the West Philippine Sea, the Presidential Communications Office (PCO) called for heightened vigilance against online content designed to sow confusion or mislead the public about the issue.…
A "foreign actor" is likely behind deepfake content that made Philippine President Ferdinand Marcos Jr. sound like he's urging military action against China, according to his communications office.
The government is investigating the spread…
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.