Ethical decision-making in Artificial Intelligence: a logic programming approach

Detalhes bibliográficos
Autor(a) principal: Machado, José Manuel
Data de Publicação: 2024
Outros Autores: Sousa, Regina, Peixoto, Hugo, Abelha, António
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/95200
Resumo: This article proposes a framework for integrating ethical reasoning into AI systems through Continuous Logic Programming (CLP), emphasizing the improvement of transparency and accountability in automated decision-making. The study highlights requirements for AI that respects human values and societal norms by examining concerns such as algorithmic bias, data privacy, and ethical dilemmas in fields like healthcare and autonomous systems. The proposed CLP-based methodology offers a systematic, elucidative framework for ethical decision-making, allowing AI systems to balance operational efficiency with ethical principles. Important contributions include strategies for the integration of ethical frameworks, stakeholder engagement, and transparency, as well as discussion on artificial moral agents and their function in addressing ethical dilemmas in AI. The paper presents practical examples that illustrate the application of CLP in ethical reasoning, highlighting its ability to bring together AI performance with responsible AI practices.
id RCAP_fd828a388951dc1357c1cc57b5f51e62
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/95200
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Ethical decision-making in Artificial Intelligence: a logic programming approachartificial moral ethicscomputational ethicslogic programmingmoral agentsCiências Naturais::Ciências da Computação e da InformaçãoThis article proposes a framework for integrating ethical reasoning into AI systems through Continuous Logic Programming (CLP), emphasizing the improvement of transparency and accountability in automated decision-making. The study highlights requirements for AI that respects human values and societal norms by examining concerns such as algorithmic bias, data privacy, and ethical dilemmas in fields like healthcare and autonomous systems. The proposed CLP-based methodology offers a systematic, elucidative framework for ethical decision-making, allowing AI systems to balance operational efficiency with ethical principles. Important contributions include strategies for the integration of ethical frameworks, stakeholder engagement, and transparency, as well as discussion on artificial moral agents and their function in addressing ethical dilemmas in AI. The paper presents practical examples that illustrate the application of CLP in ethical reasoning, highlighting its ability to bring together AI performance with responsible AI practices.This work has been supported by FCT-Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.MDPIUniversidade do MinhoMachado, José ManuelSousa, ReginaPeixoto, HugoAbelha, António20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/95200engMachado, J., Sousa, R., Peixoto, H., & Abelha, A. (2024). Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach. AI, 5(4), 2707-2724. https://doi.org/10.3390/ai50401302673-268810.3390/ai5040130https://www.mdpi.com/2673-2688/5/4/130info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-05T01:20:08Zoai:repositorium.sdum.uminho.pt:1822/95200Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:21:07.470246Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Ethical decision-making in Artificial Intelligence: a logic programming approach
title Ethical decision-making in Artificial Intelligence: a logic programming approach
spellingShingle Ethical decision-making in Artificial Intelligence: a logic programming approach
Machado, José Manuel
artificial moral ethics
computational ethics
logic programming
moral agents
Ciências Naturais::Ciências da Computação e da Informação
title_short Ethical decision-making in Artificial Intelligence: a logic programming approach
title_full Ethical decision-making in Artificial Intelligence: a logic programming approach
title_fullStr Ethical decision-making in Artificial Intelligence: a logic programming approach
title_full_unstemmed Ethical decision-making in Artificial Intelligence: a logic programming approach
title_sort Ethical decision-making in Artificial Intelligence: a logic programming approach
author Machado, José Manuel
author_facet Machado, José Manuel
Sousa, Regina
Peixoto, Hugo
Abelha, António
author_role author
author2 Sousa, Regina
Peixoto, Hugo
Abelha, António
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Machado, José Manuel
Sousa, Regina
Peixoto, Hugo
Abelha, António
dc.subject.por.fl_str_mv artificial moral ethics
computational ethics
logic programming
moral agents
Ciências Naturais::Ciências da Computação e da Informação
topic artificial moral ethics
computational ethics
logic programming
moral agents
Ciências Naturais::Ciências da Computação e da Informação
description This article proposes a framework for integrating ethical reasoning into AI systems through Continuous Logic Programming (CLP), emphasizing the improvement of transparency and accountability in automated decision-making. The study highlights requirements for AI that respects human values and societal norms by examining concerns such as algorithmic bias, data privacy, and ethical dilemmas in fields like healthcare and autonomous systems. The proposed CLP-based methodology offers a systematic, elucidative framework for ethical decision-making, allowing AI systems to balance operational efficiency with ethical principles. Important contributions include strategies for the integration of ethical frameworks, stakeholder engagement, and transparency, as well as discussion on artificial moral agents and their function in addressing ethical dilemmas in AI. The paper presents practical examples that illustrate the application of CLP in ethical reasoning, highlighting its ability to bring together AI performance with responsible AI practices.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
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 https://hdl.handle.net/1822/95200
url https://hdl.handle.net/1822/95200
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Machado, J., Sousa, R., Peixoto, H., & Abelha, A. (2024). Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach. AI, 5(4), 2707-2724. https://doi.org/10.3390/ai5040130
2673-2688
10.3390/ai5040130
https://www.mdpi.com/2673-2688/5/4/130
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602660751638528