少点错误 2024年07月27日
Safety consultations for AI lab employees
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本文介绍了作者针对人工智能实验室内部安全风险问题,推出的一个实验性服务,旨在帮助实验室员工和潜在举报人获得更多信息和支持,以便做出更明智的决策。该服务提供与前沿人工智能实验室员工的私人通话,以解答关于实验室安全相关行动、政策、承诺和声明等问题,并为潜在举报人提供联系前员工、法律顾问和媒体沟通专家的途径。

👨‍💻 作者旨在帮助人工智能实验室员工和潜在举报人获得更多信息和支持,以便做出更明智的决策。

📞 作者提供与前沿人工智能实验室员工的私人通话,以解答关于实验室安全相关行动、政策、承诺和声明等问题。这些通话面向 OpenAI、Anthropic、Google DeepMind、Microsoft AI 和 Meta AI 的员工以及正在考虑加入这些实验室的人员。

🚨 作者还为潜在举报人提供联系前员工、法律顾问和媒体沟通专家的途径,以确保举报人获得必要的信息和支持。

📧 联系方式:zacharysteinperlman@gmail.com 或 Signal 734 353 3975。

📢 作者希望这项服务能够帮助实验室员工更好地了解实验室的安全相关行动、承诺和责任。

Published on July 27, 2024 3:00 PM GMT

Many people who are concerned about AI x-risk work at AI labs, in the hope of doing directly useful work, boosting a relatively responsible lab, or causing their lab to be safer on the margin.

Labs do lots of stuff that affects AI safety one way or another. It would be hard enough to follow all this at best; in practice, labs are incentivized to be misleading in both their public and internal comms, making it even harder to follow what's happening. And so people end up misinformed about what's happening, often leading them to make suboptimal choices.

In my AI Lab Watch work, I pay attention to what AI labs do and what they should do. So I'm in a good position to inform interested but busy people.

So I'm announcing an experimental service where I provide the following:

I don't know whether I'll offer this long-term. I'm going to offer this for at least the next month.

My hope is that this service makes it much easier for lab employees to have an informed understanding of labs' safety-relevant actions, commitments, and responsibilities.


If you want to help—e.g. if maybe I should introduce lab-people to you—let me know.

You can give me anonymous feedback.


Crossposted from AI Lab Watch. Subscribe on Substack.



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AI安全 人工智能实验室 举报人支持 内部信息
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