The case for taking your technical expertise to the field of AI policy

The idea this week: technical expertise is needed in AI governance and policy.
How do you prevent a new and rapidly evolving technology from spiralling out of control? How can governments, policymakers, and civil society ensure that we’re making the best decisions about how to integrate artificial intelligence into our society?
To answer these kinds of questions, we need people with technical expertise — in machine learning, information security, computing hardware, or other relevant technical domains — to work in AI governance and policy making.
Of course, there are roles for people with many different backgrounds to play in AI governance and policy. Experience in law, international coordination, communications, operations management, and more are all potentially valuable in this space.
But we think people with technical backgrounds may underrate their ability to contribute to AI policy. We’ve long regarded AI technical safety research as an extremely high-impact career option, and we still do. But this sometimes gives readers the impression that if they’ve got a technical background or aptitude, it’s the main path for them to consider if they want to help prevent an AI-related catastrophe.
But this isn’t necessarily true.
Technical knowledge is crucial in AI governance for understanding the current landscape and likely trajectories of the technology, as well as for designing and implementing policies that can reduce the biggest risks.
















