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Former OpenAI board member Helen Toner says AI CEOs still can't be trusted

In a Verge AI podcast episode, Helen Toner, executive director of the Center for Security and Emerging Technology at Georgetown University, discusses AI safety and policy. The episode is part two of a series called "AI in real life." According to the headline, Toner is the OpenAI board member who fired Sam Altman, and she argues that AI CEOs still cannot be trusted. The source is a preview, so the full discussion is not included here.

Source: The Verge AI · theverge.com Published 2026-11-14T15:00:00+00:00 Detected 2026-11-14T22:19:07+00:00
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In a Verge AI podcast episode, Helen Toner, executive director of the Center for Security and Emerging Technology at Georgetown University, discusses AI safety and policy. The episode is part two of a series called "AI in real life." According to the headline, Toner is the OpenAI board member who fired Sam Altman, and she argues that AI CEOs still cannot be trusted. The source is a preview, so the full discussion is not included here.

AI-assisted summary based on the listed source.

Today, I’m talking with Helen Toner, the executive director of the Center for Security and Emerging Technology at Georgetown University. This episode is part two of our series on AI in real life. Helen is a well-known figure in the AI safety and policy community, though she is perhaps best known for having served...

The interview gives a view from someone who has served on an AI company's board and now leads a policy research center. It is a perspective, not a new policy or company action, so its significance depends on what Toner says in full. Readers following AI governance and leadership accountability may want to watch the rest of the series.

Signal Strength 84% Technical label WATCH Public Interest 49 Category BIG MOVE Reader Depth GENERAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 89 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 42 Curiosity Score 0 Shareability Score 61

VQV surfaced this signal because it is recent, relevant to AI Policy & Society, connected to The Verge AI.