美国学校正在利用AI监控来增强安全,但对于隐私、偏见和数据风险的关切依然存在。 U.S. schools are using AI surveillance to boost safety, but concerns over privacy, bias, and data risks persist.

美国学校越来越多地使用人工智能监测——使用照相机、传感器和数字监测——来处理洗涤、欺凌和安全等问题,系统跟踪行为,探测蒸气,分析教室和洗手间的声音。 U.S. schools are increasingly deploying AI surveillance—using cameras, sensors, and digital monitoring—to tackle issues like vaping, bullying, and safety, with systems tracking behavior, detecting vape vapor, and analyzing audio in classrooms and restrooms. 批评者警告隐私侵犯、心理伤害、数据破坏及算法偏差, 特别是对弱势学生而言。 While administrators say the technology improves response times and deters misconduct, critics warn of privacy violations, psychological harm, data breaches, and algorithmic bias, especially for vulnerable students. 诸如来自不明物体的虚假警报和暴露的学生数据等事件突显了风险。 Incidents like false alarms from misidentified objects and exposed student data highlight risks. 在没有联邦条例的情况下,迅速收养引起了对过度普及、信任侵蚀和长期影响学生自主的关切。 With no federal regulations, the rapid adoption raises concerns about overreach, trust erosion, and long-term impacts on student autonomy.