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Incident 1019: "Jewish Baby Strollers" Provided Anti-Semitic Google Images, Allegedly Resulting from Hate Speech Campaign

Description: 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.

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Alleged: Google developed and deployed an AI system, which harmed Jewish people and Google Images users.

Incident Stats

Incident ID
1019
Report Count
2
Incident Date
2017-08-15
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
CSETv0, CSETv1, GMF, MIT

CSETv1 Taxonomy Classifications

Taxonomy Details

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

CSETv0 Taxonomy Classifications

Taxonomy Details

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

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
 

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

Incident Reports

Reports Timeline

Incident Occurrence+1
A Google search for ‘Jewish baby strollers’ yields anti-Semitic images. An extremist campaign may be to blame.
A Google search for ‘Jewish baby strollers’ yields anti-Semitic images. An extremist campaign may be to blame.

A Google search for ‘Jewish baby strollers’ yields anti-Semitic images. An extremist campaign may be to blame.

jta.org

Jewish Baby Stroller Image Algorithm

Jewish Baby Stroller Image Algorithm

timebulletin.com

A Google search for ‘Jewish baby strollers’ yields anti-Semitic images. An extremist campaign may be to blame.
jta.org · 2020

(JTA) — The Google results are shocking: Do an image search for “Jewish baby strollers” and you’ll see row upon row of portable ovens — an offensive allusion to the Holocaust.

Google says it’s looking into the search results and wants to im…

Jewish Baby Stroller Image Algorithm
timebulletin.com · 2020

The anti-Semitic movement has been on the rise coordinated by an online group named ‘raid’. They operate by manipulating the google image search engine results by attaching abusive images tagged with innocent keywords which in turn, shows t…

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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