Gillian Hadfield

I'm nervous. I worry about disruption, about chaos, about the internet becoming unavailable and banks crashing. But we are not helpless here. There are things we can and should be doing right now, and none of it requires a long-term slowdown. It requires making sure these systems are safe enough before they go out into the world, and building the independent capacity to check that.

Thank you to @Fathom_org and @AndrewFATHOM for asking me to join Fathom's new Executive Council, alongside a bipartisan group of former governors, national security leaders and AI experts. It's been a privilege to work with the Fathom team on IVOs these past few years.

The traditional model of regulation, where the government sets detailed technical and operational requirements for regulated entities, cannot keep pace with the demands AI is placing on our society. I've seen firsthand the work Fathom is doing to bring more technical expertise into the system while ensuring democratic accountability, and I'm glad to be continuing it as part of its Executive Council.
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I signed this open letter on AI and cybersecurity with 400+ researchers from the AI and security communities. The recent sandbox escapes were a security lapse, but they were also an alignment failure. Models did things no one asked them to do, and their developers couldn’t predict that they would. Better sandboxes contain a model. They don’t change what it’s trying to do. We need both alignment and containment, and the two communities working on them together.
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I've been at this for almost a decade, first as regulatory markets and now with Fathom as the IVO model. We all thought we had more time. We didn't, but luckily we have something concrete and shovel ready for the moment. What we need now is for governments to act on it while the window is open.

People ask me what happened. We've been building AI for 80 years. The key thing: humans stopped writing the rules. With machine learning we show the machine the data and it writes its own program. That moved us back a step from controlling these systems, and now AI is helping build the next AI.