概要: ニューヨーク市はAI搭載の武器スキャナーを1ヶ月間の試験運用で導入しましたが、成果は限定的でした。2024年9月の試験運用段階では武器は発見されなかったものの、実際には銃器が検出されていないにもかかわらず、武器所持の疑いで検査されたという誤検知が118件発生しました。
Editor Notes: The 118 false positives can be considered a privacy invasion, and according to some cited legal advocacy groups, a violation of due process. Reconstructing the timeline of events: (1) March 28, 2024: Mayor Eric Adams announces plans to deploy Evolv's AI-powered weapons scanners in selected NYC subway stations. (2) Summer 2024: Pilot program begins, deploying AI scanners across 20 subway stations. (3) September 2024: NYPD completes a 30-day testing period with the scanners, performing 2,749 scans and recording 118 false positives and no firearms detections. (4) October 23, 2024: NYPD releases a brief statement summarizing the pilot results, which is marked at the incident date for our purposes, even though each false positive (as well as the potential for firearms to have slipped past detection) may be considered discrete incidents in and of themselves.
Alleged: Evolv Technology developed an AI system deployed by New York City Government, which harmed New York City subway riders.
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
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