Description: A man allegedly unblurred, using deepfake technology, pixelated pornographic images and videos of pornographic actors, which violated Japan’s obscenity law requiring images of genitalia to be obscured.
Entities
View all entitiesAlleged: unknown developed an AI system deployed by Masayuki Nakamoto, which harmed Japanese pornographic actors.
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
Japanese police on Monday arrested a 43-year-old man for using artificial intelligence to effectively unblur pixelated porn videos, in the first criminal case in the country involving the exploitative use of the powerful technology.
Masayuk…
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.
