Description: Speedcam Anywhere, an app allowing users to document and report traffic violations via AI-based videographic speed estimation of a vehicle, raised concerns for UK drivers about its capabilities for surveillance and abuse.
Alleged: Speedcam Anywhere developed and deployed an AI system, which harmed UK drivers.
インシデントのステータス
インシデントID
264
レポート数
1
インシデント発生日
2022-03-01
エディタ
Khoa Lam
Applied Taxonomies
CSETv1_Annotator-1 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.
264
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.
no
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
2022
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
03
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Multiple AI Interaction
“Yes” if two or more independently operating AI systems were involved. “No” otherwise.
no
インシデントレポート
レポートタイムライン
theguardian.com · 2022
- 情報源として元のレポートを表示
- インターネットアーカイブでレポートを表示
The developers of a new app that uses AI to estimate the speed of a passing car say they have been forced into anonymity by the vicious response from drivers.
The app, Speedcam Anywhere, is the product of a team of AI scientists with backgr…
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