Publicação
The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets
| Resumo: | Artificial 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. |
|---|---|
| Autores principais: | Natrup, Simon |
| Assunto: | Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868983659680235520 |
|---|---|
| author | Natrup, Simon |
| author_facet | Natrup, Simon |
| author_role | author |
| contributor_name_str_mv | Santos, Vítor Manuel Pereira Duarte dos RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Natrup, Simon\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Santos, Vítor Manuel Pereira Duarte dos RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Natrup, Simon |
| datacite.date.Accepted.fl_str_mv | 2022-02-18T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-03-17T10:49:42Z |
| datacite.date.embargoed.fl_str_mv | 2022-03-17T10:49:42Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| datacite.titles.title.fl_str_mv | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| dc.contributor.none.fl_str_mv | Santos, Vítor Manuel Pereira Duarte dos RUN |
| dc.creator.none.fl_str_mv | Natrup, Simon |
| dc.date.Accepted.fl_str_mv | 2022-02-18T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-03-17T10:49:42Z |
| dc.date.embargoed.fl_str_mv | 2022-03-17T10:49:42Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/134702 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| dc.title.fl_str_mv | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | Artificial 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/c249a296-484c-4dbe-89af-6c3b4d507415/download |
| id | run_eefebfff45966e2be64f1a6a7b2a042e |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/134702 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/134702 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Natrup, Simon |
| publishDate | 2022 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTArtificial 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.application/pdfpt_PTThe Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different MarketsNatrup, SimonSantos, Vítor Manuel Pereira Duarte dosHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2029663802022-03-17T10:49:42Z2022-02-182022-02-18T00:00:00ZHandlehttp://hdl.handle.net/10362/134702http://purl.org/coar/access_right/c_abf2open accessMachine Learning EthicsArtificial Intelligence EthicsMachine Learning BiasMachine Learning DiscriminationTrustworthy AIArtificial Intelligence PrinciplesArtificial Intelligence Guidelines1838665 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2022-02-18http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/c249a296-484c-4dbe-89af-6c3b4d507415/download |
| spellingShingle | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets Natrup, Simon Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| status | SINGLETON |
| subject.fl_str_mv | Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| title | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| title_full | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| title_fullStr | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| title_full_unstemmed | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| title_short | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| title_sort | The Landscape of Artificial Intelligence Ethics: Analysis of Developments, Challenges, and Comparison of Different Markets |
| topic | Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| topic_facet | Machine Learning Ethics Artificial Intelligence Ethics Machine Learning Bias Machine Learning Discrimination Trustworthy AI Artificial Intelligence Principles Artificial Intelligence Guidelines |
| url | http://hdl.handle.net/10362/134702 |
| visible | 1 |