一名女子因阻挡送货机器人而在费城被捕

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一名女子因阻挡送货机器人而在费城被捕

内容来源:https://www.theverge.com/ai-artificial-intelligence/1013541/a-woman-was-arrested-in-philly-for-blocking-a-delivery-robot

内容总结:

美国费城一名女子因阻挡优步外卖机器人通行并拒绝让路,被警方以“扰乱治安”罪名逮捕并起诉。该女子名为卡罗琳·马文,她向当地媒体表示,自己是在抗议这类机器人取代人类配送员的工作,因此每当看到机器人便站在其前方阻止其前进。警方到场后要求其离开,遭拒后将其戴上手铐逮捕,事件视频在媒体上引发广泛关注。报道称,配送机器人已成为费城中心街道的常见景象,并引发不少反对声音,这并非马文首次与机器人发生冲突,今年早些时候该市中心区还发生过一起机器人被踢倒的事件。公众日益担忧自动驾驶系统,包括无人驾驶出租车、配送机器人和人工智能代理,对就业尤其是低技能劳动者岗位的冲击。

中文翻译:

卡罗琳·马文因挡住一辆优步配送机器人的去路并拒绝让开,被警方逮捕并被控扰乱治安。马文对费城ABC13电视台表示:“我知道它们正在抢走人类配送员的工作,所以每当我看到它们,就会站在它们前面挡住去路,阻止它们前进。”
费城一名女子因阻挡配送机器人被捕
卡罗琳·马文因抗议配送机器人抢走工作岗位,被控“扰乱治安”。
卡罗琳·马文因抗议配送机器人抢走工作岗位,被控“扰乱治安”。
警方赶到现场,要求马文从机器人前方让开。她拒绝后,警方将其戴上手铐并予以逮捕。事发过程被视频拍下,现已在媒体上引发大量关注。
配送机器人已成为费城市中心街头的常见景象,并引发了强烈反对。这甚至不是马文第一次与它们发生冲突。今年早些时候,就有一台机器人在市中心被人踢倒。人们日益广泛担忧的是,包括自动驾驶出租车、配送机器人和人工智能代理在内的自主系统正在如何冲击就业,尤其是对低技能劳动者而言。

英文来源:

Carolyn Marvin was arrested and charged with disorderly conduct after blocking the path of an Uber delivery robot and refusing to get out of the way. Marvin told Philadelphia’s ABC13 “I know they’re taking the jobs of human delivery workers and so, I have been protesting them whenever I saw them by standing in front of them and preventing them from going forward.”
A woman was arrested in Philly for blocking a delivery robot
Carolyn Marvin was charged with ‘disorderly conduct’ for protesting delivery robots taking jobs.
Carolyn Marvin was charged with ‘disorderly conduct’ for protesting delivery robots taking jobs.
Police responded to the scene and asked Marvin to move out of the robot’s way. When she refused, they placed her in cuffs and arrested her. The incident was captured on video and has now garnered considerable media attention.
The delivery robots have become a common sight on the streets of downtown Philadelphia and have sparked backlash. This is not even Marvin’s first brush with them. And earlier this year, one was kicked over in Center City. Broad concern has grown about how autonomous systems, including robotaxis, delivery robots, and AI agents, are impacting jobs, especially for lower-skill workers.

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