概要: 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.
推定: Naverが開発し提供したAIシステムで、Naver customersに影響を与えた
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
インシデントレポート
レポートタイムライン
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…
バリアント
「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引 き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください