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The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets

2022-02-18Dissertação de mestrado Acesso aberto
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dc.contributor.advisorSantos, Vítor Manuel Pereira Duarte dos
dc.contributor.authorNatrup, Simon
dc.date.accessioned2022-03-17T10:49:42Z
dc.date.available2022-03-17T10:49:42Z
dc.date.issued2022-02-18
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Managementpt_PT
dc.description.abstractArtificial Intelligence has become a disruptive force in the everyday lives of billions of people worldwide, and the impact it has will only increase in the future. Be it an algorithm that knows precisely what we want before we are consciously aware of it or a fully automized and weaponized drone that decides in a fraction of a second if it may strike a lethal attack or not. Those algorithms are here to stay. Even if the world could come together and ban, e.g., algorithm-based weaponized systems, there would still be many systems that unintentionally harm individuals and whole societies. Therefore, we must think of AI with Ethical considerations to mitigate the harm and bias of human design, especially with the data on which the machine consciousness is created. Although it may just be an algorithm for a simple automated task, like visual classification, the outcome can have discriminatory results with long-term consequences. This thesis explores the developments and challenges of Artificial Intelligence Ethics in different markets based on specific factors, aims to answer scientific questions, and seeks to raise new ones for future research. Furthermore, measurements and approaches for mitigating risks that lead to such harmful algorithmic decisions and identifying global differences in this field are the main objectives of this research.pt_PT
dc.identifier.tid202966380pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/134702
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMachine Learning Ethicspt_PT
dc.subjectArtificial Intelligence Ethicspt_PT
dc.subjectMachine Learning Biaspt_PT
dc.subjectMachine Learning Discriminationpt_PT
dc.subjectTrustworthy AIpt_PT
dc.subjectArtificial Intelligence Principlespt_PT
dc.subjectArtificial Intelligence Guidelinespt_PT
dc.titleThe Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Marketspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Gestão de Informação, especialização em Gestão dos Sistemas e Tecnologias de Informaçãopt_PT

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NIMS - Dissertações de Mestrado em Gestão da Informação (Information Management)