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Incidente 88: "Jewish Baby Strollers" Provided Anti-Semitic Google Images, Allegedly Resulting from Hate Speech Campaign

Descripción: Google's Image search for "Jewish baby strollers" showed offensive, anti-Semitic results, allegedly a result of a coordinated hate-speech campaign involving malicious actors on 4chan.

Herramientas

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Entidades

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Presunto: un sistema de IA desarrollado e implementado por Google, perjudicó a Jewish people y Google Images users.

Estadísticas de incidentes

ID
88
Cantidad de informes
2
Fecha del Incidente
2017-08-15
Editores
Sean McGregor, Khoa Lam
Applied Taxonomies
CSETv0, CSETv1, GMF, MIT

Clasificaciones de la Taxonomía CSETv0

Detalles de la Taxonomía

Problem Nature

Indicates which, if any, of the following types of AI failure describe the incident: "Specification," i.e. the system's behavior did not align with the true intentions of its designer, operator, etc; "Robustness," i.e. the system operated unsafely because of features or changes in its environment, or in the inputs the system received; "Assurance," i.e. the system could not be adequately monitored or controlled during operation.
 

Robustness, Assurance

Physical System

Where relevant, indicates whether the AI system(s) was embedded into or tightly associated with specific types of hardware.
 

Software only

Level of Autonomy

The degree to which the AI system(s) functions independently from human intervention. "High" means there is no human involved in the system action execution; "Medium" means the system generates a decision and a human oversees the resulting action; "low" means the system generates decision-support output and a human makes a decision and executes an action.
 

High

Nature of End User

"Expert" if users with special training or technical expertise were the ones meant to benefit from the AI system(s)’ operation; "Amateur" if the AI systems were primarily meant to benefit the general public or untrained users.
 

Amateur

Public Sector Deployment

"Yes" if the AI system(s) involved in the accident were being used by the public sector or for the administration of public goods (for example, public transportation). "No" if the system(s) were being used in the private sector or for commercial purposes (for example, a ride-sharing company), on the other.
 

No

Data Inputs

A brief description of the data that the AI system(s) used or were trained on.
 

images, tags, appended texts, user input

Clasificaciones de la Taxonomía CSETv1

Detalles de la Taxonomía

Incident Number

The number of the incident in the AI Incident Database.
 

88

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.
 

yes

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
 

1.2. Exposure to toxic content

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. Discrimination and Toxicity

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

Incident Occurrence+1
Una búsqueda en Google de "cochecitos de bebé judíos" arroja imágenes antisemitas. Una campaña extremista puede ser la culpable.
Una búsqueda en Google de "cochecitos de bebé judíos" arroja imágenes antisemitas. Una campaña extremista puede ser la culpable.

Una búsqueda en Google de "cochecitos de bebé judíos" arroja imágenes antisemitas. Una campaña extremista puede ser la culpable.

jta.org

Algoritmo de imagen de cochecito de bebé judío

Algoritmo de imagen de cochecito de bebé judío

timebulletin.com

Una búsqueda en Google de "cochecitos de bebé judíos" arroja imágenes antisemitas. Una campaña extremista puede ser la culpable.
jta.org · 2020
Traducido por IA

(JTA) — Los resultados de Google son impactantes: haga una búsqueda de imágenes de "cochecitos de bebé judíos" y verá fila tras fila de hornos portátiles, una alusión ofensiva a la Holocausto.

Google dice que está investigando los resultado…

Algoritmo de imagen de cochecito de bebé judío
timebulletin.com · 2020
Traducido por IA

El movimiento antisemita ha ido en aumento coordinado por un grupo en línea llamado 'raid'. Operan manipulando los resultados del motor de búsqueda de imágenes de Google al adjuntar imágenes abusivas etiquetadas con palabras clave inocentes…

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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Incidente AnteriorSiguiente Incidente

Incidentes Similares

Por similitud de texto

Did our AI mess up? Flag the unrelated incidents

Microsoft’s Algorithm Allegedly Selected Photo of the Wrong Mixed-Race Person Featured in a News Story

Microsoft’s AI journalists confuse mixed-race Little Mix singers

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Biased Google Image Results

'Black teenagers' vs. 'white teenagers': Why Google's algorithm displays racist results

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Chinese Tech Firms Allegedly Developed Facial Recognition to Identify People by Race, Targeting Uyghur Muslims

Surveillance group exposes disturbing Huawei patent for AI-powered Uighur detection

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