Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy

Detalhes bibliográficos
Autor(a) principal: Encarnação, Marta Sofia Marques da
Data de Publicação: 2024
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/164921
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Framework for the application of Explainable Artificial Intelligence techniques in the service of DemocracyExplainable Artificial IntelligenceDemocracyExplainabilityTransparencyFrameworkDesign Science ResearchDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceAs artificial intelligence is increasingly deployed in democracies around the world, there is growing recognition of the need for transparency and accountability in Artificial Intelligence decision-making. Explainable Artificial Intelligence (XAI) offers a solution to the problem of AI "black boxes" by making the underlying reasoning and decision-making processes of Artificial Intelligence models more transparent to humans. This approach can help ensure that AI systems are aligned with democratic values and principles, and that they are not being used in ways that violate individual rights or compromise personal privacy. This document studies the two above-mentioned scopes: Explainable Artificial Intelligence (XAI) and Democracy, which led to the development of an artifact. All the required steps are comprehensively explained as to how the proposed framework was constructed in order to be able to be applied in the service of Democracy through the application of Explainable Artificial Intelligence (XAI) techniques. The ultimate goal is to mitigate or even eliminate some threats and challenges Democracies face today and how Artificial Intelligence with the addition of an explainability trait could be of great help. This study includes a thorough literature review on Explainable Artificial Intelligence (XAI) and its various concepts, approaches, algorithms and techniques relevant to democracy. This is followed by a study of the democratic environment, as well as the challenges and opportunities posed by using Artificial Intelligence in the democratic context. By considering both Explainable Artificial Intelligence (XAI) and the broader implications of Artificial Intelligence in democratic societies, this study seeks to advance our understanding of how to build trustworthy, transparent Artificial Intelligence systems that meet the demands of democratic governance while respecting individual rights and values. After conducting a comprehensive literature review and other studies, a set of assumptions were established as foundation for the development of the artifact. These assumptions guided the creation of a framework, which is then described in detail with specific examples for each step. The effectiveness of the framework is assessed through interviews conducted with specialists, and the resulting feedback was then analyzed and discussed. This section of the study also includes a conclusion regarding the value and validity of the framework as a useful tool for the practical application of Explainable Artificial Intelligence (XAI) techniques in the context of democracy.Anastasiadou, MariaSantos, Vítor Manuel Pereira Duarte dosRUNEncarnação, Marta Sofia Marques da2024-03-14T15:57:22Z2024-02-022024-02-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/164921TID:203545044enginfo: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:RCAAP2024-03-18T01:47:43Zoai:run.unl.pt:10362/164921Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:02:04.898060Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
title Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
spellingShingle Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
Encarnação, Marta Sofia Marques da
Explainable Artificial Intelligence
Democracy
Explainability
Transparency
Framework
Design Science Research
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
title_full Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
title_fullStr Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
title_full_unstemmed Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
title_sort Framework for the application of Explainable Artificial Intelligence techniques in the service of Democracy
author Encarnação, Marta Sofia Marques da
author_facet Encarnação, Marta Sofia Marques da
author_role author
dc.contributor.none.fl_str_mv Anastasiadou, Maria
Santos, Vítor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Encarnação, Marta Sofia Marques da
dc.subject.por.fl_str_mv Explainable Artificial Intelligence
Democracy
Explainability
Transparency
Framework
Design Science Research
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Explainable Artificial Intelligence
Democracy
Explainability
Transparency
Framework
Design Science Research
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2024
dc.date.none.fl_str_mv 2024-03-14T15:57:22Z
2024-02-02
2024-02-02T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/164921
TID:203545044
url http://hdl.handle.net/10362/164921
identifier_str_mv TID:203545044
dc.language.iso.fl_str_mv eng
language eng
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.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
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