Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse

Incident 191: Korean Internet Portal Giant Naver Manipulated Shopping and Video Search Algorithms to Favor In-House Services

Description: The Korean Fair Trade Commission (FTC) imposed a 26.7B KRW on Naver for manipulating shopping and video search algorithms, favoring its own online shopping business to boost its market share.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Naver developed and deployed an AI system, which harmed Naver customers.

Incident Stats

Incident ID
191
Report Count
2
Incident Date
2020-10-06
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
CSETv1_Annotator-1, GMF

CSETv1_Annotator-1 Taxonomy Classifications

Taxonomy Details

Incident Number

The number of the incident in the AI Incident Database.
 

191

AI Tangible Harm Level Notes

Notes about the AI tangible harm level assessment
 

Naver was fined 26.7 billion won ($23 million) for manipulating its shopping and video services search algorithms to place its own services on top of search results.

Notes (special interest intangible harm)

Input any notes that may help explain your answers.
 

This incident does not involve special interest intangible harm. However, the FTC did determine that Naver had violated fair competition and antitrust laws.

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

Incident Reports

Reports Timeline

+2
Naver fined for manipulating search algorithms
Naver fined for manipulating search algorithms

Naver fined for manipulating search algorithms

theinvestor.co.kr

Naver fined W26.7 bil. for manipulating search algorithm

Naver fined W26.7 bil. for manipulating search algorithm

koreatimes.co.kr

Naver fined for manipulating search algorithms
theinvestor.co.kr · 2020
  • View the original report at its source
  • View the report at the Internet Archive

South Korea‘s antitrust regulator on Oct. 6 imposed a 26.7 billion won ($22.9 million) fine on Naver, accusing the company of manipulating search algorithms to favor its own online shopping business.

Naver, in response, said the company wil…

Naver fined W26.7 bil. for manipulating search algorithm
koreatimes.co.kr · 2020
  • View the original report at its source
  • View the report at the Internet Archive

The Fair Trade Commission (FTC) announced Tuesday that it had fined Korean internet portal giant Naver 26.7 billion won ($23 million) for manipulating its shopping and video services search algorithms to place its own services on the top of…

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.
Previous IncidentNext Incident

Research

  • Defining an “AI Incident”
  • Defining an “AI Incident Response”
  • Database Roadmap
  • Related Work
  • Download Complete Database

Project and Community

  • About
  • Contact and Follow
  • Apps and Summaries
  • Editor’s Guide

Incidents

  • All Incidents in List Form
  • Flagged Incidents
  • Submission Queue
  • Classifications View
  • Taxonomies

2024 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • cce74c7