How to Prioritize the Planet: A Guide to Global Catastrophic Risk Reduction
"Navigating Uncertainties and Investments for a Safer Future"
Global Catastrophic Risks (GCRs) are events that could severely damage or even destroy human civilization. Nuclear war and pandemic diseases are examples of current GCRs. Climate change and risks connected with artificial intelligence and nanotechnology could become GCRs in the future.
There's growing support for minimizing GCRs or specific types of GCRs, as it's recognized as an important goal for society. Assessments of the value of avoiding global catastrophe vary greatly, sometimes suggesting a large allocation of resources towards GCR reduction.
Allocating resources effectively is a major challenge in GCR reduction. One essential question is: How should funds be split between direct risk-reduction activities and research to inform these efforts? Decision analysis can help allocate the right amounts to information gathering (i.e., uncertainty reduction) before making resource allocation choices.
Understanding the Value of Information in GCR Reduction

Value of information (VOI) calculations often assess choices through utility functions, money, or similar measures that show tradeoffs, such as balancing lives saved against dollars spent. Using a typical value of statistical life (VSL) saved might not be appropriate given the scale of GCRs. Also, quantifying total global catastrophe consequences is complex due to event impacts and public reactions. This paper suggests a cost-effectiveness-based approach.
- GCR Probabilities: Fault trees show multiple global catastrophic risks.
- Cost-Effectiveness and Value of Information for GCR Reduction: A decision tree calculates the VOI.
- Perfect and Imperfect Information: GCR research isn't expected to eliminate all uncertainties. EVPI calculations are generally used to set an upper limit on reducing uncertainty.
The Next Steps in Global Catastrophic Risk Reduction
Value of information, based on cost-effectiveness, is a useful tool for analyzing GCR to inform risk-reduction decisions. It applies to GCRs and risk-reduction interventions in an integrated fashion. A discussion of key challenges in the real-world implementation of this paper's framework, and the argument that these challenges can be addressed are made.