I've just released a Future of Humanity Institute technical report, written as part of the Global Priorities Project.
This article is about priority-setting for work aiming to reduce existential risk. Its chief claim is that all else being equal we should prefer work earlier and prefer to work on risks that might come early. This is because we are uncertain about when we will have to face different risks, because we expect diminishing returns of extra work, and because we expect that more people will work on these risks in the future.
I explore this claim both qualitatively and with explicit models. I consider its implications for two questions: first, “When is it best to do different kinds of work?”; second, “Which risks should we focus on?”.
As a major application, I look at the case of risk from artificial intelligence. The best strategies for reducing this risk depend on when the risk is coming. I argue that we may be underinvesting in scenarios where AI comes soon even though these scenarios are relatively unlikely, because we will not have time later to address them.
You can read the full report here: Allocating risk mitigation across time.