Incident 73: Is Pokémon Go racist? How the app may be redlining communities of color

Description: Through a crowdsourcing social media campaign in 2016, several journalists and researchers demonstrated that augmented reality locations in the popular smartphone game Pokemon Go were more likely to be in white neighborhoods.

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Alleged: Niantic Labs developed and deployed an AI system, which harmed non-white neighborhoods and communities of color.

Incident Stats

Incident ID
73
Report Count
8
Incident Date
2016-03-01
Editors
Sean McGregor, Khoa Lam

CSETv0 Taxonomy Classifications

Taxonomy Details

Full Description

In 2016, several sources demonstrated that augmented reality locations in Pokemon Go, a popular smartphone game, were more likely to be located in white neighborhoods. Aura Bogado, an environmental reporter, first noticed the bias in her Los Angeles neighborhood and, through a social media campaign that she launched, researchers and journalists replicated her results across the United States. The game creator Niantic Labs revealed that the Pokemon Go map was derived from a previous augmented reality game, Ingress. Ingress crowdsourced its map from users, who tended to be young, male, white, and English-speaking.

Short Description

Through a crowdsourcing social media campaign in 2016, several journalists and researchers demonstrated that augmented reality locations in the popular smartphone game Pokemon Go were more likely to be in white neighborhoods.

Severity

Negligible

Harm Distribution Basis

Race, National origin or immigrant status, Geography

Harm Type

Harm to social or political systems

AI System Description

Pokemon Go, an augmented reality smartphone game.

System Developer

Niantic Labs

Sector of Deployment

Arts, entertainment and recreation

Relevant AI functions

Unclear

AI Techniques

Game AI

AI Applications

procedural content generation

Location

United States

Named Entities

Pokemon Go, Niantic Labs, John Hanke, Aura Bogado, Ingress

Technology Purveyor

Niantic Labs

Beginning Date

2016-01-01T00:00:00.000Z

Ending Date

2016-01-01T00:00:00.000Z

Near Miss

Harm caused

Intent

Accident

Lives Lost

No

Data Inputs

user data from the game Ingress

CSETv1 Taxonomy Classifications

Taxonomy Details

Harm Distribution Basis

race, geography

Sector of Deployment

information and communication, Arts, entertainment and recreation

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vox.com · 2016

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Is Pokémon Go racist? How the app may be redlining communities of color
usatoday.com · 2016

CLOSE There are more Pokéstops in majority white areas than in majority black areas, which could suggest digital redlining within the game.

Timi Ajiboye and Tobi Akinnubi use the Pokemon Go application at the University of Lagos. (Photo: St…

Is Pokemon Go racist?
stuff.co.nz · 2016

There are typically fewer PokeStops in non-white areas, if there are any at all.

While playing the popular augmented-reality game Pokemon Go in Long Beach, a city that is nearly 50 per cent white, Aura Bogado made an unsettling discovery - …

Pokemon Go accused of racism after more Poke Stops in white neighborhoods
dailymail.co.uk · 2016

Aura Bogado (pictured), an environmental reporter for news outlet Grist, realized Pokemon Go's Poke Stops appeared more frequently in white areas than predominantly black and Latino neighborhoods and began collecting data

A Pokemon Go playe…

Is Pokémon Go Racist? Users Complain Of Lack Of Poké Stops In Black Areas
ladbible.com · 2016

Featured image credit: PA

When you think of Pokémon Go you probably think of crashing servers, grown men acting like teenagers and how fucking hard it is to catch a Charizard. You might not think of racism, but now one US player has found w…

Pokemon Go: The Good, The Bad, And The Ugly
ivebeenmugged.typepad.com · 2016

The game's popularity proliferated after a July 6 launch in Australia, New Zealand, and the United States: 7.5 million downloads during its first week; 50 million downloads from Google Play during its first month; and it was WikiPedia's mos…

medium.com · 2018

Power of Numbers: Pokemon Go!

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Numbers

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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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