To regulate or not: A social dynamics analysis of an idealised ai race

Detalhes bibliográficos
Autor(a) principal: Han, The Anh
Data de Publicação: 2020
Outros Autores: Pereira, Luís Moniz, Santos, Francisco C., Lenaerts, Tom
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/121438
Resumo: PTDC/EEI-SII/5081/2014 PTDC/MAT/STA/3358/2014 UIDB/50021/2020 grant number 31257234 FLAG-ERA JCT 2016 FP2-154 UIDB/04516/2020
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spelling To regulate or not: A social dynamics analysis of an idealised ai raceArtificial IntelligencePTDC/EEI-SII/5081/2014 PTDC/MAT/STA/3358/2014 UIDB/50021/2020 grant number 31257234 FLAG-ERA JCT 2016 FP2-154 UIDB/04516/2020Rapid technological advancements in Artificial Intelligence (AI), as well as the growing deployment of intelligent technologies in new application domains, have generated serious anxiety and a fear of missing out among different stake-holders, fostering a racing narrative. Whether real or not, the belief in such a race for domain supremacy through AI, can make it real simply from its consequences, as put forward by the Thomas theorem. These consequences may be negative, as racing for technological supremacy creates a complex ecology of choices that could push stake-holders to underestimate or even ignore ethical and safety procedures. As a consequence, different actors are urging to consider both the normative and social impact of these technological advancements, contemplating the use of the precautionary principle in AI innovation and research. Yet, given the breadth and depth of AI and its advances, it is difficult to assess which technology needs regulation and when. As there is no easy access to data describing this alleged AI race, theoretical models are necessary to understand its potential dynamics, allowing for the identification of when procedures need to be put in place to favour outcomes beneficial for all. We show that, next to the risks of setbacks and being reprimanded for unsafe behaviour, the time-scale in which domain supremacy can be achieved plays a crucial role. When this can be achieved in a short term, those who completely ignore the safety precautions are bound to win the race but at a cost to society, apparently requiring regulatory actions. Our analysis reveals that imposing regulations for all risk and timing conditions may not have the anticipated effect as only for specific conditions a dilemma arises between what is individually preferred and globally beneficial. Similar observations can be made for the long-term development case. Yet different from the short-term situation, conditions can be identified that require the promotion of risk-taking as opposed to compliance with safety regulations in order to improve social welfare. These results remain robust both when two or several actors are involved in the race and when collective rather than individual setbacks are produced by risk-taking behaviour. When defining codes of conduct and regulatory policies for applications of AI, a clear understanding of the time-scale of the race is thus required, as this may induce important non-trivial effects.NOVALincsRUNHan, The AnhPereira, Luís MonizSantos, Francisco C.Lenaerts, Tom2021-07-21T22:19:52Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article41application/pdfhttp://hdl.handle.net/10362/121438eng1076-9757PURE: 32697078https://doi.org/10.1613/JAIR.1.12225info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-10T16:01:42ZPortal AgregadorONG
dc.title.none.fl_str_mv To regulate or not: A social dynamics analysis of an idealised ai race
title To regulate or not: A social dynamics analysis of an idealised ai race
spellingShingle To regulate or not: A social dynamics analysis of an idealised ai race
Han, The Anh
Artificial Intelligence
title_short To regulate or not: A social dynamics analysis of an idealised ai race
title_full To regulate or not: A social dynamics analysis of an idealised ai race
title_fullStr To regulate or not: A social dynamics analysis of an idealised ai race
title_full_unstemmed To regulate or not: A social dynamics analysis of an idealised ai race
title_sort To regulate or not: A social dynamics analysis of an idealised ai race
author Han, The Anh
author_facet Han, The Anh
Pereira, Luís Moniz
Santos, Francisco C.
Lenaerts, Tom
author_role author
author2 Pereira, Luís Moniz
Santos, Francisco C.
Lenaerts, Tom
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVALincs
RUN
dc.contributor.author.fl_str_mv Han, The Anh
Pereira, Luís Moniz
Santos, Francisco C.
Lenaerts, Tom
dc.subject.por.fl_str_mv Artificial Intelligence
topic Artificial Intelligence
description PTDC/EEI-SII/5081/2014 PTDC/MAT/STA/3358/2014 UIDB/50021/2020 grant number 31257234 FLAG-ERA JCT 2016 FP2-154 UIDB/04516/2020
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-07-21T22:19:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/121438
url http://hdl.handle.net/10362/121438
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1076-9757
PURE: 32697078
https://doi.org/10.1613/JAIR.1.12225
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 41
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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