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Incident 370: Google Fined for Changing Shopping Algorithms in EU to Favor Own Service

Description: Google was fined by EU Commission for changing its shopping algorithms in Europe to favor its own comparison service over competitors, resulting in anti-competitive effects.

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Alleged: Google developed and deployed an AI system, which harmed Google's competitor shopping services.

Incident Stats

Incident ID
370
Report Count
1
Incident Date
2017-09-27
Editors
Khoa Lam
Applied Taxonomies
MIT

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
 

6.1. Power centralization and unfair distribution of benefits

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. Socioeconomic & Environmental Harms

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

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 OccurrenceVestager’s court win opens way for more Google cases
Vestager’s court win opens way for more Google cases

Vestager’s court win opens way for more Google cases

politico.eu

Vestager’s court win opens way for more Google cases
politico.eu · 2021

EU competition chief Margrethe Vestager won her first big Google case in front of the EU's lower court on Wednesday, in a ruling that is set to embolden regulators to launch more cases against the U.S. search giant.

In a major blow to Googl…

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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