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.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por unknown, perjudicó a Ferdinand Marcos Jr. , Government of the Philippines , Philippines y General public.
Estadísticas de incidentes
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
Informes del Incidente
Cronología de Informes

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…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.