概要: PimEyesは、インターネット上で一致する顔画像を検索できるサブスクリプションベースのAIサービスを一般の人々に提供していたが、批評家は、女性へのストーカー行為などの悪用を防ぐための公的な監視や政府の規則が欠如していると指摘した。
推定: PimEyesが開発し提供したAIシステムで、internet usersに影響を与えた
CSETv1 分類法のクラス
分類法の詳細Incident Number
The number of the incident in the AI Incident Database.
109
AI Tangible Harm Level Notes
Notes about the AI tangible harm level assessment
The article notes the potential for nefarious actors like stalkers to use the PimEyes tool to do tangible harm.
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.
maybe
Notes (AI special interest intangible harm)
If for 5.5 you select unclear or leave it blank, please provide a brief description of why.
You can also add notes if you want to provide justification for a level.
Annotator 2:
It is unclear whether PimEyes violates peoples' privacy and whether or not that constitutes a rights violation.
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2021
Date of Incident Month
The month in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the month, estimate. Otherwise, leave blank.
Enter in the format of MM
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.