Description: BBC presenter Naga Munchetty was reportedly targeted in an AI-generated scam using deepfake images and fake news articles to promote a fraudulent investment scheme. Scam ads on social media allegedly featured manipulated images of Munchetty and linked to a fake BBC article directing users to a cyber trading website. The BBC legal team is reported to have taken action to remove the fraudulent site.
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: Unknown deepfake technology developers developed an AI system deployed by Scammers impersonating Naga Munchetty and Unknown scammers, which harmed Naga Munchetty , BBC , social media users and Fans of Naga Munchetty.
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
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The headline was enough to make me want to read more -- but the fact they had spelled my name wrong made me immediately question the credibility of the journalism involved -- if there was any.
I'm used to seeing misleading articles about my…
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Naga Munchetty has become the latest celebrity to be targeted in a sexually explicit scam.
The veteran BBC presenter, 49, discovered paid advertisements on X/Twitter and Facebook promoted to "trick people out of their hard-earned money" and…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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