概要: 2021年の報道によると、韓国法務省は、入国審査で使用されるAI識別・追跡システムのために、韓国人および外国人空港利用者の顔画像と関連する生体認証データ約1億7000万件を科学技術情報通信部(ICT)および民間企業と共有していたとされる。このデータは、利用者の同意なしにAIのトレーニングやアルゴリズムのテストに使用されたと報じられている。
Alleged: Surveillance technology developers と Facial recognition system developers developed an AI system deployed by Government of South Korea , South Korean Ministry of Justice , South Korean Ministry of Science and ICT と National IT Industry Promotion Agency, which harmed Foreign nationals traveling through South Korean airports , Korean citizens whose airport facial images were used , Biometric data subjects , Privacy と Airport travelers in South Korea.
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
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.
- Privacy & Security
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