Google moved its CBRN evaluators into the lobbying department
About 90 people who test Gemini for chemical and biological risk now report through global affairs, and the White House framework makes that org chart look accurate.
Google is moving its roughly 90-person AI responsibility team out of Google DeepMind and into global affairs, the division that handles lobbying and public policy, the Wall Street Journal reported on 26 August. The team evaluates Google's models for chemical, biological, radiological and nuclear risk and studies the psychological effects of chatbots on users. The move completes at the start of September.

New: Google is moving its AI responsibility team out of GDM and into the global affairs org, sparking employee fears of being sidelined. The team includes researchers testing for CBRN risks and studying the impacts of chatbots
first scoop for @WSJ: t.co/H4cDPcnapx
An org chart is a budget with names on it.
So read this one as a statement about who the work is for. Who is the customer of a CBRN evaluation?
Helen King, the DeepMind vice-president who runs the team, told staff in the email the Journal reviewed that its focus on emerging and frontier topics would not change, that access to DeepMind, compute and headcount would be preserved, and that publishing research externally "continues to be supported and important." A Google spokesperson said that "by bringing our AI responsibility teams closer together we're strengthening their ability to inform safety for our models and products."
Both statements can be true. Neither answers the question. Reporting lines decide what gets prioritised when a deadline arrives (they always have), and this team's new boss owns the relationship with governments.
Which, uncomfortably, may be the honest description of the job now. President Trump's executive order of 2 June instructs agencies to design a voluntary framework under which developers give the federal government access to "covered frontier models" for up to 30 days before release, and to help "select trusted partners that will have early access". CNBC reported in July that the administration had begun deciding which companies and entities get access to the newest models, a decision that used to sit with OpenAI and Anthropic. If the main consumer of your pre-release evaluation is a federal reviewer, then putting the evaluators in the government-relations org is not a demotion. It is an accurate map.
Which is the part that should worry you.
Our read: this is safety being re-scoped from research to compliance, and the tell is not in the announcement but in the small print of the reporting. Employees asked to move into research groups staying inside DeepMind and were turned down. Managers privately conceded, per the Journal, that the change carries a real risk of losing people to rival labs. Teams working on model behaviour, privacy and security stay in the lab.
The CBRN evaluators do not.
Here is a claim you can check on us. Twelve months from now, external publications from this team will be down against the prior year, despite the assurance in King's email. Publication counts are public (you can count them yourself). If output holds or rises, the reassurance was real and we were cynical.
The fair counter is that consolidation genuinely can help. Google runs safety work in several places, HR and policy functions are moving out of DeepMind too, and a team that briefs regulators for a living is arguably better placed inside the group that briefs regulators. Demis Hassabis, who ran DeepMind until last month, spent this year arguing publicly for a FINRA-style standards body for frontier AI, which is a policy position more than a research one.
Still. Ask what a lobbying organisation is measured on.
Not on finding the thing nobody wants found.