Big Bang, Low Bar -- Risk Assessment in the Public Arena

Fuente: arXiv
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Main Author: Price, Huw
Format: Preprint
Published: 2023
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author Price, Huw
author_facet Price, Huw
contents One of the basic principles of risk management is that we should always keep an eye on ways that things could go badly wrong, even if they seem unlikely. The more disastrous a potential failure, the more improbable it needs to be, before we can safely ignore it. This principle may seem obvious, but it is easily overlooked in public discourse about risk, even by well-qualified commentators who should certainly know better. The present piece is prompted by neglect of the principle in recent discussions about the potential existential risks of artificial intelligence. The failing is not peculiar to this case, but recent debates in this area provide some particularly stark examples of how easily the principle can be overlooked.
format Preprint
id arxiv_https___arxiv_org_abs_2308_04440
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Big Bang, Low Bar -- Risk Assessment in the Public Arena
Price, Huw
Computers and Society
Artificial Intelligence
One of the basic principles of risk management is that we should always keep an eye on ways that things could go badly wrong, even if they seem unlikely. The more disastrous a potential failure, the more improbable it needs to be, before we can safely ignore it. This principle may seem obvious, but it is easily overlooked in public discourse about risk, even by well-qualified commentators who should certainly know better. The present piece is prompted by neglect of the principle in recent discussions about the potential existential risks of artificial intelligence. The failing is not peculiar to this case, but recent debates in this area provide some particularly stark examples of how easily the principle can be overlooked.
title Big Bang, Low Bar -- Risk Assessment in the Public Arena
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2308.04440