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Building Technology to Drive AI Governance

bounded-regret.ghost.io · 1,994 words · saved by 6 readers

Technically skilled people who care about AI going well often ask me: how should I spend my time if I think AI governance is important? By governance, I mean the constraints, incentives, and oversight that govern how AI is developed. One option is to focus on technical work that solves

Technically skilled people who care about AI going well often ask me: how should I spend my time if I think AI governance is important? By governance, I mean the constraints, incentives, and oversight that govern how AI is developed. One option is to focus on technical work that solves problems at the point of production, such as alignment research or safeguards. Another common instinct is to get directly involved in policy: switching to a policy role, funding advocacy, or lobbying policymakers. But internal technical work does little to shift the broader incentives of AI development: without

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