---
title: "美聯儲官員沃勒表示，央行在使用人工智能時設有嚴格的防護措施"
type: "News"
locale: "zh-HK"
url: "https://longbridge.com/zh-HK/news/286944503.md"
description: "美聯儲理事克里斯托弗·沃勒表示，中央銀行的人工智能受到嚴格的安全措施的監管，以保護敏感數據，這可能導致使用稍微過時的技術。他強調了在人工智能研究中設立保護措施的重要性，並提到美聯儲在會議總結等任務中使用人工智能。沃勒還指出，美聯儲正在監測人工智能對勞動市場的影響，並強調在部署人工智能工具時需要謹慎"
datetime: "2026-05-19T16:19:31.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/286944503.md)
  - [en](https://longbridge.com/en/news/286944503.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/286944503.md)
---

# 美聯儲官員沃勒表示，央行在使用人工智能時設有嚴格的防護措施

-   **Key takeaway:** Federal Reserve Gov. Christopher Waller said security measures designed to protect internal data can leave the Fed using slightly outdated technology, but are necessary for risk management. He added that the central bank uses AI for tasks including summarizing meetings.
-   **Expert Quote:** "In terms of research, you're going to have guardrails on it. We're probably not going to let you sit on a plane and run stuff on your laptop that has sensitive policy information on it. They won't even let me use it to clean up my email." — Federal Reserve Gov. Christopher Waller
-   **What's at stake:** Alongside its internal use of AI, the Fed has been closely monitoring how companies are deploying the technology for underwriting and compliance, as well as its implications for the labor market and monetary policy.

Federal Reserve Gov. Christopher Waller said Tuesday that guardrails are in place around how artificial intelligence is used in central bank research.

Speaking at a research-focused event hosted by the European Central Bank in Frankfurt, Germany, Waller said economists developing models at the Fed must follow protocols designed to protect sensitive data.

"There has to be guardrails on what happens, so we make sure that this stuff doesn't get out, or if we use inside information \[that\] it's not somehow used or helping companies use our inside information to develop their models," he said. "That's just a risk management problem for what we have to do."

Waller said the central bank operates a sandbox environment where economists can safely use AI models for research, though those tools may lag behind the latest technology because of security concerns.

"We have a bunch of different AI models that are provided to us from \[Amazon Web Services\] cloud, we have some guardrails," he said. "We may not have the most up to date, cutting edge model, because we had to check through and set things up."

He added that those guardrails may leave researchers "a little behind doing work at the bank," but said the tradeoff is necessary "to protect against if other things happen."

Waller described AI as an "amazing tool" and pointed to use cases at the Fed, including summarizing meetings.

"If you want to do an executive summary of the whole meeting, run the transcript through it. It gives you an executive summary, a very fast and efficient way to do the minutes of our meetings," he said. "There's lots of really nice ways you could use this stuff in the central bank to make us all more efficient."

Still, Waller emphasized the importance of limiting how and where AI tools are used, particularly when sensitive internal information is involved.

"In terms of research, you're going to have guardrails on it," he said. "We're probably not going to let you sit on a plane and run stuff on your laptop that has sensitive policy information on it.

"They won't even let me use it to clean up my email," he quipped.

Alongside its internal use of AI, the Fed has been closely monitoring how companies are deploying the technology and what effects it could have on the labor market.

As AI tools rapidly proliferate, companies have rushed to integrate the technology in an effort to streamline operations and reduce costs.

Several Fed officials, including Governors Lisa Cook and Michael Barr, have warned that AI could disrupt parts of the workforce, though they say it may be too early to determine the full impact.

Barr said rapid implementation of AI tools by employers could make some jobs obsolete.

"You may be beginning to see a little bit of that in employment data — not a lot, but a little bit of it in some sectors," Barr said during an appearance late last year. "It might be an area to watch in the future."

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