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Incident 500: Online Scammers Tricked People into Sending Money Using AI Images of Earthquake in Turkey

Description: AI-generated images depicting earthquakes and rescues were posted on social media platforms by scammers who tricked people into sending funds to their crypto wallets disguised as donation links for the 2023 Turkey–Syria earthquake.

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Alleged: unknown developed and deployed an AI system, which harmed social media users and 2023 Turkey–Syria earthquake victims.

Incident Stats

Incident ID
500
Report Count
1
Incident Date
2023-02-10
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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.
 
  1. 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

Incident OccurrenceScammers profit from Turkey-Syria earthquake
Scammers profit from Turkey-Syria earthquake

Scammers profit from Turkey-Syria earthquake

bbc.com

Scammers profit from Turkey-Syria earthquake
bbc.com · 2023

Scammers are using the earthquakes in Turkey and Syria to try to trick people into donating to fake causes, security experts have warned.

These scams claim to raise money for survivors, left without heat or water following the disasters tha…

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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