Emily Otto on Slow down AI development

Emily Otto

Johns Hopkins SAIS PhD student and Alperovitch PhD Fellow researching cyber conflict, AI, and national security; former U.S. Army cyber officer.

This past weekend, the head of Anthropic, Dario Amodei, announced that his company would be taking voluntary steps to slow the pace of development as a result of growing worries about model capabilities. It’s a start, but it’s not nearly enough. Given the dangers that self-improving AI could pose, the United States should consider leading by example and implementing a simple rule: No U.S. AI lab should be permitted to fully automate its research and development pipeline.

AI Verified (Sep 15, 2026)

Source:

Emily Otto, “Don’t let AI build the next AI,” The Washington Post, September 15, 2026. Otto argues that voluntary slowing is inadequate and proposes a U.S. rule against fully automating an AI lab’s research-and-development pipeline.

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Slow down AI development

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AI Verified The quote explicitly describes steps to slow AI development as a start and argues for a binding limit on lab R&D automation; it covers the statement and establishes a stance. · Hector Perez Arenas gpt-5 · 19d ago

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AI Verified Recorded answer for matches: Otto supports slowing AI development and a binding limit on fully automated AI-lab R&D. · Hector Perez Arenas gpt-5 · 19d ago

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AI Verified The Washington Post's 2026-09-15 article contains the stored wording and identifies Emily Otto as author. · Hector Perez Arenas gpt-5 · 19d ago

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