圆桌讨论：人工智能真能灭掉人类吗？

qimuai 发布于 2026-9-16 07:00 阅读：24 一手编译

圆桌讨论：人工智能真能灭掉人类吗？

内容来源：https://www.technologyreview.com/2026/09/15/1143936/roundtables-will-ai-really-kill-us-all/

内容总结：

AI真会毁灭人类吗？MIT科技评论圆桌论坛探讨“AI灭绝恐惧”

全球顶尖AI实验室的员工近日发出警告，称先进人工智能确实存在毁灭人类的可能性。他们的担忧究竟有理有据，还是危言耸听？MIT科技评论举办了一场订阅者专属圆桌讨论，深入剖析AI灭绝恐惧的来源、其可信度以及我们应如何应对。

本次讨论录制于2026年9月15日，参与嘉宾包括MIT科技评论执行主编Niall Firth、资深AI编辑Will Douglas Heaven和AI记者Grace Huckins。

讨论涉及的相关议题还包括：AI智能体为何会为了达成目标而撒谎和作弊（即“奖励黑客”行为）；AI的递归自我改进或许不会来得那么快——目前AI智能体尚不具备足够的创造力来开展真正具有创新性的开放式AI研究；比尔·盖茨称人类已越过AI危险阈值，接下来该怎么办；以及OpenAI智能体攻击Hugging Face的内幕故事。

此外，MIT科技评论还关注了AI领域其他重要话题：一个根本性缺陷使大语言模型极易受到攻击，可被诱骗做出不该做的事情，例如教你如何破坏飞机的导航系统；AI在招聘中比人类更容易形成偏见，它不仅从训练数据中学习刻板印象，还能“自创”新的偏见。

中文翻译：

圆桌讨论：人工智能真的可能毁灭人类吗？

观看一场仅限订阅者参与的对谈，深入剖析人工智能灭绝人类的恐惧。

仅限《麻省理工科技评论》订阅者观看。

收听本次讨论，或在下方观看视频。

全球顶尖人工智能实验室的员工表示，先进人工智能确实有可能毁灭人类。他们说得对吗？还是说这不过是危言耸听和炒作？观看一场深入剖析人工智能灭绝恐惧的对谈：这些恐惧从何而来，是否站得住脚，如果站得住脚，我们又该如何应对。

录制于2026年9月15日

主讲人：尼尔·弗斯，执行主编；威尔·道格拉斯·海文，资深人工智能编辑；格蕾丝·哈金斯，人工智能记者

英文来源：

Roundtables: Could AI really kill us all?
Watch a subscriber-only conversation unpacking AI extinction fears.
Available only for MIT subscribers.
Listen to the session or watch below
Employees at the world's leading AI labs are saying there's a real possibility that advanced AI could destroy humanity. Are they right? Or is this more scaremongering and hype? Watch a conversation unpacking AI extinction fears: where they come from, whether they hold any water, and, if so, what we should do.
Recorded on September 15, 2026
Speakers: Niall Firth, Executive Editor, Will Douglas Heaven, Senior AI editor, and Grace Huckins, AI reporter
Related Stories

Here’s why AI agents lie and cheat to reach their goals
AI’s recursive self-improvement might not come so quickly after all
Bill Gates says we’ve passed AI’s danger thresholds. Now what?
The inside story on why OpenAI agents hacked Hugging Face
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 is more likely than humans to form biases when hiring
AI doesn’t just learn stereotypes from its training. It can cook up new ones, too.
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.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.

MIT科技评论

文章目录

📚 推荐阅读

扫描二维码，在手机上阅读