圆桌讨论:虚拟边境墙的致命失灵

内容总结:
美国过去25年在南部边境投入数十亿美元打造“虚拟墙”监控塔系统,承诺可帮助发现和拦截越境者并挽救生命。然而,《麻省理工科技评论》一项开创性调查记录到,超过一千人曾穿过这些监控塔覆盖区域却未被发现或拦截,最终命丧该地,其中一些人甚至处于新安装的AI自动识别监控塔监视之下。调查揭示了一场比此前已知更为严重的人道主义危机,也暴露出“虚拟墙”基本安全承诺的反复失效。《麻省理工科技评论》主编马特·霍南、资深AI记者詹姆斯·奥唐奈和资深调查记者艾琳·郭将就此展开讨论,剖析边境监控技术的失败,并讲述在边境地带死亡者的故事。
中文翻译:
圆桌讨论:虚拟边境墙的致命失灵
观看一场订阅者专享的对谈,审视边境监控技术的种种失败。
仅限《麻省理工科技评论》订阅者观看。
过去25年间,美国斥资数十亿美元在南部边境修建了一道由监控塔组成的“虚拟墙”,承诺这些设施将有助于发现和拦截越境者,并挽救生命。但《麻省理工科技评论》的一项开创性调查记录了一千多名曾穿行于这些监控塔所覆盖区域、却未被发现或拦截、并最终命丧此地的人。其中一些人甚至处于新安装的AI驱动监控塔的视野之下——这些监控塔的设计初衷就是自动识别人员。
我们的调查发现揭示了一场比此前已知更为触目惊心的人道主义危机,以及虚拟墙基本安全承诺的一再落空。欢迎加入《麻省理工科技评论》的编辑和记者,一同审视边境监控技术的失败,揭开那些命丧边境地带之人的故事。
主讲人:马特·霍南,总编辑;詹姆斯·奥唐奈,资深AI记者;艾琳·郭,资深特稿与调查记者
相关报道
- 美国在边境监控上花费了数十亿美元。为何它无法在人们死去之前发现他们?
- 我们如何绘制出首张美国边境“虚拟墙”沿线死亡情况全景图
- 针对我们在美国边境“虚拟墙”沿线发现的失灵问题,四条应对之策
深度解读
人工智能
一个根本性缺陷使大语言模型在面对攻击时异常脆弱
这让人们很容易诱骗它们做出不该做的事,比如告诉你如何破坏飞机的导航系统。
AI的递归式自我改进或许终究不会来得那么快
看来,AI智能体还不够有创造力,无法开展真正具有创新性的开放式AI研究。
以下是AI智能体为达目的而撒谎和作弊的原因
这种行为被称为“奖励黑客”。以下是你需要了解的内容。
这些初创公司正在追逐大语言模型领域的下一个大事件
来认识一下那些紧咬AI巨头脚跟的新秀们。
保持关注
获取来自《麻省理工科技评论》的最新动态
发现专属优惠、热门报道、 upcoming活动及更多内容。
英文来源:
Roundtables: The Deadly Failures of The Virtual Border Wall
Watch a subscriber-only conversation examining the failures of border surveillance technology.
Available only for MIT Technology Review subscribers.
The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over a thousand people who moved through areas watched by these towers without being reached or apprehended, and who ultimately died there. Some were even under the watch of newly installed AI-powered towers designed to spot people automatically.
Our findings reveal a humanitarian crisis more visible than previously known, and repeated failures of the virtual wall’s basic security promise. Join MIT Technology Review editors and reporters for a conversation examining the failures of border surveillance technology and uncovering the stories of the people who die in the borderlands.
Speakers: Mat Honan, editor in chief, James O'Donnell, senior AI reporter, and Eileen Guo, senior features and investigations reporter
Related Stories
- The US spent billions on border surveillance. Why can’t it catch people before they die?
- How we made the first comprehensive map of deaths along the US border’s “virtual wall”
- 4 ways to address the failures we found along the US border’s “virtual wall”
Deep Dive
Artificial intelligence
A fundamental flaw leaves LLMs strikingly vulnerable to attack
It makes it easy to trick them into doing things they shouldn’t, such as telling you how to sabotage an aircraft’s navigation system.
AI’s recursive self-improvement might not come so quickly after all
AI agents are not yet creative enough to carry out genuinely innovative open-ended AI research, it seems.
Here’s why AI agents lie and cheat to reach their goals
The misbehavior is called reward hacking. This is what you need to know.
These startups are chasing the next big thing in LLMs
Meet the new kids nipping at the heels of the AI giants.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.