Existential risks from fundamental physics research

Pablo (+7/-9)
Pablo (+177)
Pablo (+64)
Leo (+15/-12)
Leo
Leo (+48/-44)
Aaron Gertler (+1205)

Existential risks from fundamental physics research are speculative risks of an existential catastrophe potentially resultingarising from certain types of research in particle physics.

Existential risks from fundamental physics research are speculative risks of an existential catastrophe potentially resulting from certain types of research in particle physics.

Further readingBibliography

Ord, Toby, Rafaela Hillerbrand & Anders Sandberg. 2010.Sandberg (2010) Probing the improbable: methodological challenges for risks with low probabilities and high stakes. , Journal of risk research 13(2): 191-, vol. 13, pp. 191–205.
A technical paper investigating ways to estimate risks from model uncertainty.

Fundamental physics research appears very unlikely to pose an existential risk. Physicists have extremely accurate models of the world, and are able to estimate the likely consequences of different experimental conditions. Even where they do not know precisely what will happen, they usually have a fairly good idea of roughly what will happen.

However, one of the reasons to run experiments in the first place is to probe areas where the existing models of physics might be wrong. If the models are wrong, and the experiments are sufficiently exotic, there is some very small chance of accidental and unpredictable harm resulting. Some, for example, have concerns that strangelets created by particle accelerators might cause catastrophe. Such risks are extremely unlikely conditional on our phyiscal models being true. But the risks become more concerning given a non-negligible chance that the models are mistaken.

Further reading

Ord, Toby, Rafaela Hillerbrand & Anders Sandberg. 2010. Probing the improbable: methodological challenges for risks with low probabilities and high stakes. Journal of risk research 13(2): 191-205.
A technical paper investigating ways to estimate risks from model uncertainty.