Existential Risk and Growth
Leopold Aschenbrenner and Philip Trammell (Global Priorities Institute and Department of Economics, University of Oxford)
GPI Working Paper No. 13-2024
Technology increases consumption but can create or mitigate existential risk to human civilization. Though accelerating technological development may increase the hazard rate (the risk of existential catastrophe per period) in the short run, two considerations suggest that acceleration typically decreases the risk that such a catastrophe ever occurs. First, acceleration decreases the time spent at each technology level. Second, given a policy option to sacrifice consumption for safety, acceleration motivates greater sacrifices by decreasing the marginal utility of consumption and increasing the value of the future. Under broad conditions, optimal policy thus produces an “existential risk Kuznets curve”, in which the hazard rate rises and then falls with the technology level and acceleration pulls forward a future in which risk is low. The negative impacts of acceleration on risk are offset only given policy failures, or direct contributions of acceleration to cumulative risk, that are sufficiently extreme.
An earlier version of the paper was published as GPI Working Paper No. 6-2020, and is available here.
Other working papers
Choosing the future: Markets, ethics and rapprochement in social discounting – Antony Millner (University of California, Santa Barbara) and Geoffrey Heal (Columbia University)
This paper provides a critical review of the literature on choosing social discount rates (SDRs) for public cost-benefit analysis. We discuss two dominant approaches, the first based on market prices, and the second based on intertemporal ethics. While both methods have attractive features, neither is immune to criticism. …
Respect for others’ risk attitudes and the long-run future – Andreas Mogensen (Global Priorities Institute, University of Oxford)
When our choice affects some other person and the outcome is unknown, it has been argued that we should defer to their risk attitude, if known, or else default to use of a risk avoidant risk function. This, in turn, has been claimed to require the use of a risk avoidant risk function when making decisions that primarily affect future people, and to decrease the desirability of efforts to prevent human extinction, owing to the significant risks associated with continued human survival. …
Estimating long-term treatment effects without long-term outcome data – David Rhys Bernard (Rethink Priorities), Jojo Lee and Victor Yaneng Wang (Global Priorities Institute, University of Oxford)
The surrogate index method allows policymakers to estimate long-run treatment effects before long-run outcomes are observable. We meta-analyse this approach over nine long-run RCTs in development economics, comparing surrogate estimates to estimates from actual long-run RCT outcomes. We introduce the M-lasso algorithm for constructing the surrogate approach’s first-stage predictive model and compare its performance with other surrogate estimation methods. …