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Incidente 564: Voice deepfake targets bank in failed transfer scam

Descripción: In spring 2023, Florida investor Clive Kabatznik became the target of an advanced scam attempt involving a voice deepfake mimicking his own voice. The fraudulent caller, using AI-generated speech, contacted Kabatznik's Bank of America representative in an unsuccessful attempt to deceive the banker into transferring funds to a different account.

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Alleged: unknown developed an AI system deployed by scammers, which harmed Clive Kabatznik y Bank of America.

Estadísticas de incidentes

ID
564
Cantidad de informes
1
Fecha del Incidente
2023-08-30
Editores
Sean McGregor
Applied Taxonomies
CSETv1, MIT

Clasificaciones de la Taxonomía CSETv1

Detalles de la Taxonomía

Incident Number

The number of the incident in the AI Incident Database.
 

564

Special Interest Intangible Harm

An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
 

no

Date of Incident Year

The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank. Enter in the format of YYYY
 

2023

Date of Incident Month

The month in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the month, estimate. Otherwise, leave blank. Enter in the format of MM
 

Estimated Date

“Yes” if the data was estimated. “No” otherwise.
 

No

Multiple AI Interaction

“Yes” if two or more independently operating AI systems were involved. “No” otherwise.
 

no

Clasificaciones de la Taxonomía MIT

Machine-Classified
Detalles de la Taxonomía

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

Informes del Incidente

Cronología de Informes

+1
Los deepfakes de voz están llegando a tu saldo bancario
Los deepfakes de voz están llegando a tu saldo bancario

Los deepfakes de voz están llegando a tu saldo bancario

nytimes.com

Los deepfakes de voz están llegando a tu saldo bancario
nytimes.com · 2023
Traducido por IA

Esta primavera, Clive Kabatznik, un inversionista en Florida, llamó a su representante local del Bank of America para discutir una gran transferencia de dinero que planeaba realizar. Luego volvió a llamar.

Excepto que la segunda llamada tel…

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.

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