Collective intelligence as infrastructure for reducing broad global catastrophic risks
Academic and philanthropic communities have grown increasingly concerned with global catastrophic risks (GCRs), including artificial intelligence safety, pandemics, biosecurity, and nuclear war. Outcomes of many, if not all, risk situations hinge on the performance of human groups, such as whether g...
Main Authors: | , |
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Format: | Conference item |
Language: | English |
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The Freeman Spogli Institute, Stanford University
2023
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author | Yang, VC Sandberg, A |
author_facet | Yang, VC Sandberg, A |
author_sort | Yang, VC |
collection | OXFORD |
description | Academic and philanthropic communities have grown increasingly concerned with global catastrophic risks (GCRs), including artificial intelligence safety, pandemics, biosecurity, and nuclear war. Outcomes of many, if not all, risk situations hinge on the performance of human groups, such as whether governments or scientific communities can work effectively. We propose to think about these issues as Collective Intelligence (CI) problems—of how to process distributed information effectively. CI is a transdisciplinary research area, whose application involves human and animal groups, markets, robotic swarms, collections of neurons, and other distributed systems. In this article, we argue that improving CI in human groups can improve general resilience against a wide variety of risks. We summarize findings from the CI literature on conditions that improve human group performance, and discuss ways existing CI findings may be applied to GCR mitigation. We also suggest several directions for future research at the exciting intersection of these two emerging fields. |
first_indexed | 2024-03-07T08:16:20Z |
format | Conference item |
id | oxford-uuid:e51323a8-ac1e-4d00-aa5a-ba89d7768c71 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T08:16:20Z |
publishDate | 2023 |
publisher | The Freeman Spogli Institute, Stanford University |
record_format | dspace |
spelling | oxford-uuid:e51323a8-ac1e-4d00-aa5a-ba89d7768c712024-01-04T09:44:28ZCollective intelligence as infrastructure for reducing broad global catastrophic risksConference itemhttp://purl.org/coar/resource_type/c_5794uuid:e51323a8-ac1e-4d00-aa5a-ba89d7768c71EnglishSymplectic ElementsThe Freeman Spogli Institute, Stanford University2023Yang, VCSandberg, AAcademic and philanthropic communities have grown increasingly concerned with global catastrophic risks (GCRs), including artificial intelligence safety, pandemics, biosecurity, and nuclear war. Outcomes of many, if not all, risk situations hinge on the performance of human groups, such as whether governments or scientific communities can work effectively. We propose to think about these issues as Collective Intelligence (CI) problems—of how to process distributed information effectively. CI is a transdisciplinary research area, whose application involves human and animal groups, markets, robotic swarms, collections of neurons, and other distributed systems. In this article, we argue that improving CI in human groups can improve general resilience against a wide variety of risks. We summarize findings from the CI literature on conditions that improve human group performance, and discuss ways existing CI findings may be applied to GCR mitigation. We also suggest several directions for future research at the exciting intersection of these two emerging fields. |
spellingShingle | Yang, VC Sandberg, A Collective intelligence as infrastructure for reducing broad global catastrophic risks |
title | Collective intelligence as infrastructure for reducing broad global catastrophic risks |
title_full | Collective intelligence as infrastructure for reducing broad global catastrophic risks |
title_fullStr | Collective intelligence as infrastructure for reducing broad global catastrophic risks |
title_full_unstemmed | Collective intelligence as infrastructure for reducing broad global catastrophic risks |
title_short | Collective intelligence as infrastructure for reducing broad global catastrophic risks |
title_sort | collective intelligence as infrastructure for reducing broad global catastrophic risks |
work_keys_str_mv | AT yangvc collectiveintelligenceasinfrastructureforreducingbroadglobalcatastrophicrisks AT sandberga collectiveintelligenceasinfrastructureforreducingbroadglobalcatastrophicrisks |