Description: An AI-generated song imitating Justin Bieber’s voice, referencing a "Diddy party," spread widely across social media, reportedly leading fans to believe it was authentic. Experts identified the audio as likely AI-made, citing frequency mismatches and digital artifacts. The viral song misrepresented Bieber, posing potential brand and revenue impacts for the artist while misleading listeners.
Entities
View all entitiesAlleged: Unknown deepfake technology creators developed an AI system deployed by Unknown YouTube user , Unknown X (Twitter) user , Unknown TikTok user and the_real_cool_dad, which harmed Justin Bieber fans , Justin Bieber and Sean Combs.
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
AI
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
A song that sounds like it was released by Justin Bieber, with lyrics saying the singer "lost myself at a 'Diddy' party," has racked up millions of views across social platforms including TikTok, X and YouTube. Researchers tell CBS News the…
A new song that sounds like it was released by Justin Bieber, with lyrics mentioning being at a "Diddy party," has gone viral on social media, sparking questions about its authenticity.
It first appeared on social media platforms like TikTo…
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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