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TZID:Asia/Shanghai
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DTSTART:20000101T000000
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UID:20260709T063343Z - 14616@iZuf69e0i0z4ibdboqb33jZ
DTSTART;TZID=Asia/Shanghai:20260523T130000
DTEND;TZID=Asia/Shanghai:20260523T150000
CREATED:20260709T063343Z
DESCRIPTION:<a href="http://popcornclubshanghai.com/event/meta-spying-on-em
 ployees-to-train-ai-what-s-next-45535/register">Meta Spying On Employees T
 o Train AI: What's Next?</a>\nHow much of your work life actually belongs 
 to you? If a company like Meta is tracking employee behavior to train AI\,
  where does productivity end and surveillance begin? And if that same data
  helps build systems that could one day replace those employees\, what kin
 d of trade-off are we really looking at? In this discussion\, we’ll unpa
 ck a scenario that feels both futuristic and uncomfortably close: does you
 r employer own every click\, keystroke\, and moment of your attention simp
 ly because you’re on the clock? Hosted by Omar\, the Popcorn Club tech b
 usiness expert\, this session goes straight into the ethical gray zones. W
 ould you accept a job knowing your screen might be constantly monitored or
  even screenshotted? Is this just the modern version of workplace oversigh
 t—or does it cross a line into something far more invasive? And where do
  we draw that line when comparing it to extreme examples of surveillance? 
 Expect a sharp\, thought-provoking conversation that explores power\, tech
 nology\, privacy\, and what the future of work might actually feel like fr
 om the inside. 你工作生活中到底有多少东西真的属于你？
 如果像 Meta 这样的公司都在盯着员工的行为来训练 AI，
 那到底哪里是搞生产力，哪里算是被监视了？而且，如
 果同样的数据最后被用来开发系统，有朝一日可能取代
 这些员工本身，那我们到底在做一个什么样的交易？这
 场讨论里，我们会聊一个既感觉有点科幻、又让人隐隐
 觉得离自己没那么远的场景：就因为你打卡上班了，公
 司就有权管你每一次点击、每一次敲键盘、甚至你每一
 刻的注意力吗？ 这场由 Popcorn Club 科技商业专家 Omar 主
 持的讨论，会直接切入那些让人心里犯嘀咕的灰色地带
 。如果一份工作会随时监控你的屏幕，甚至时不时截图
 ，你还会接受吗？这到底是现代版本的职场监督，还是
 已经越界到了一种更让人不舒服的监控？跟那些极端例
 子比，我们又该把这条线画在哪儿呢？这场对话挺犀利
 的，也会很刺激思考，我们会一起聊权力、科技、隐私
 ，还有未来的工作在内部视角下到底会是什么样的感觉
 。
DTSTAMP:20260709T063343Z
LOCATION:China\,\, Shanghai
SUMMARY:Meta Spying On Employees To Train AI: What's Next?
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