概要: Evolv社のAI搭載武器スキャナーは金属探知機よりも優れていると宣伝されていましたが、実際の武器を検知できず、誤検知が多すぎると報告されています。FTCは、システムの精度と速度に関する誤解を招くような主張が、学校が信頼性の低い検出方法に頼る一因となっていると主張しました。2022年10月には、ナイフの誤検知により生徒が刺される事件が少なくとも1件発生しました。
Alleged: Evolv Technology developed an AI system deployed by Charlotte Mecklenburg School District, which harmed teachers at Charlotte Mecklenburg Schools , students at Charlotte Mecklenburg Schools , security officers at Charlotte Mecklenburg Schools , Parents of students at Charlotte Mecklenburg Schools と School administrators at Charlotte Mecklenburg Schools.
関与が疑われるAIシステム: Evolv Express weapons detection system
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.
349
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
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
Unintentional
インシデントレポート
レポートタイムライン
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On March 22, Jennifer Dean, the principal of Mallard Creek High School in Charlotte, North Carolina, emailed members of her staff to tell them about a new security system being installed. Made by a Massachusetts-based company called Evolv T…
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We’re just going to keep getting kids killed in America. We’ll never stop throwing money in the direction of the problem, but not directly at the problem. Nothing gets safer. It just gets more budget line items.
The problem with school shoo…
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