Employing AI to Better Understand Our Morals

Detalhes bibliográficos
Autor(a) principal: Pereira, Luís Moniz
Data de Publicação: 2022
Outros Autores: Han, The Anh, Lopes, António Barata
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/143493
Resumo: 372 RFP2-154 RF-2020-603/9
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spelling Employing AI to Better Understand Our MoralsAI governanceArtificial intelligenceEvolutionary game theoryHuman moralityMachine ethicsInformation SystemsMathematical PhysicsPhysics and Astronomy (miscellaneous)Electrical and Electronic Engineering372 RFP2-154 RF-2020-603/9We present a summary of research that we have conducted employing AI to better understand human morality. This summary adumbrates theoretical fundamentals and considers how to regulate development of powerful new AI technologies. The latter research aim is benevolent AI, with fair distribution of benefits associated with the development of these and related technologies, avoiding disparities of power and wealth due to unregulated competition. Our approach avoids statistical models employed in other approaches to solve moral dilemmas, because these are “blind” to natural constraints on moral agents, and risk perpetuating mistakes. Instead, our approach employs, for instance, psychologically realistic counterfactual reasoning in group dynamics. The present paper reviews studies involving factors fundamental to human moral motivation, including egoism vs. altruism, commitment vs. defaulting, guilt vs. non-guilt, apology plus forgiveness, counterfactual collaboration, among other factors fundamental in the motivation of moral action. These being basic elements in most moral systems, our studies deliver generalizable conclusions that inform efforts to achieve greater sustainability and global benefit, regardless of cultural specificities in constituents.NOVALincsRUNPereira, Luís MonizHan, The AnhLopes, António Barata2022-09-05T22:24:34Z2022-12-212022-12-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttp://hdl.handle.net/10362/143493eng1099-4300PURE: 46265471https://doi.org/10.3390/e24010010info: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:RCAAP2023-07-10T16:09:03ZPortal AgregadorONG
dc.title.none.fl_str_mv Employing AI to Better Understand Our Morals
title Employing AI to Better Understand Our Morals
spellingShingle Employing AI to Better Understand Our Morals
Pereira, Luís Moniz
AI governance
Artificial intelligence
Evolutionary game theory
Human morality
Machine ethics
Information Systems
Mathematical Physics
Physics and Astronomy (miscellaneous)
Electrical and Electronic Engineering
title_short Employing AI to Better Understand Our Morals
title_full Employing AI to Better Understand Our Morals
title_fullStr Employing AI to Better Understand Our Morals
title_full_unstemmed Employing AI to Better Understand Our Morals
title_sort Employing AI to Better Understand Our Morals
author Pereira, Luís Moniz
author_facet Pereira, Luís Moniz
Han, The Anh
Lopes, António Barata
author_role author
author2 Han, The Anh
Lopes, António Barata
author2_role author
author
dc.contributor.none.fl_str_mv NOVALincs
RUN
dc.contributor.author.fl_str_mv Pereira, Luís Moniz
Han, The Anh
Lopes, António Barata
dc.subject.por.fl_str_mv AI governance
Artificial intelligence
Evolutionary game theory
Human morality
Machine ethics
Information Systems
Mathematical Physics
Physics and Astronomy (miscellaneous)
Electrical and Electronic Engineering
topic AI governance
Artificial intelligence
Evolutionary game theory
Human morality
Machine ethics
Information Systems
Mathematical Physics
Physics and Astronomy (miscellaneous)
Electrical and Electronic Engineering
description 372 RFP2-154 RF-2020-603/9
publishDate 2022
dc.date.none.fl_str_mv 2022-09-05T22:24:34Z
2022-12-21
2022-12-21T00:00:00Z
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/10362/143493
url http://hdl.handle.net/10362/143493
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1099-4300
PURE: 46265471
https://doi.org/10.3390/e24010010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 19
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
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instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv
repository.mail.fl_str_mv
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