インシデント 295の引用情報

Description: New York Police Department (NYPD)’s facial recognition system falsely connected a Black teenager to a series of thefts at Apple stores, which resulted in his wrongful attempted arrest.
推定: unknownが開発し、New York Police Departmentが提供したAIシステムで、Ousmane Bah , NYC Black people NYC Black young peopleに影響を与えた

インシデントのステータス

インシデントID
295
レポート数
5
インシデント発生日
2018-11-08
エディタ
Khoa Lam
Teen sues Apple for $1 billion, blames facial recognition at stores for his arrest
washingtonpost.com · 2019

An 18-year-old from New York is suing Apple for $1 billion, claiming that a facial recognition system at its stores falsely connected him to a series of thefts.

Ousmane Bah, who was arrested at his home in November, alleges that the warrant…

Apple claims it isn’t scanning customers’ faces, after teen sues for $1 billion
theverge.com · 2019

Apple is being accused of using facial recognition software in its Apple Stores to arrest the wrong person for theft — a New York student who’s now suing Apple for $1 billion. And while Apple tells The Verge it doesn’t use facial recognitio…

Judge allows facial recognition lawsuit against Apple to continue
appleworld.today · 2020

An Illinois federal judge on Thursday refused to let Apple dodge a class action alleging that it violates state law through its facial recognition software, finding that the proposed class’ allegations that the company illegally collects an…

Apple sued over false accusations in Apple Store thefts by impostor
appleinsider.com · 2021

Apple is being sued by a man due to repeated accusations the man was behind numerous thefts at Apple Stores across the eastern seaboard of the United States, attempted thefts that were conducted by others who were impersonating the man.

The…

Bah v. Apple Inc.
casetext.com · 2021

Because the allegations in the Third Amended Complaint at times differ materially from those considered by the Court in its first MTD Opinion, they will be described in some detail.

The first theft identified in the Complaint occurred on Ap…

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