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.
Entities
View all entitiesAlleged: Naver developed and deployed an AI system, which harmed Naver customers.
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.
- Socioeconomic & Environmental Harms
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
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…
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 AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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