Initial validation of the general attitudes towards Artificial Intelligence Scale
A new General Attitudes towards Artificial Intelligence Scale (GAAIS) was developed. The scale underwent initial statistical validation via Exploratory Factor Analysis, which identified positive and negative subscales. Both subscales captured emotions in line with their valence. In addition, the pos...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12904
- Acceso en línea:
- https://www.sciencedirect.com/science/article/pii/S2451958820300142?via%3Dihub#abs0010
http://hdl.handle.net/20.500.12010/12904
https://doi.org/10.1016/j.chbr.2020.100014
- Palabra clave:
- Artificial intelligence
Psychometrics
Questionnaire
Index
Attitudes
Perception
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Acceso restringido
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oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12904 |
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Expeditio: repositorio UTadeo |
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|
dc.title.spa.fl_str_mv |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
title |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
spellingShingle |
Initial validation of the general attitudes towards Artificial Intelligence Scale Artificial intelligence Psychometrics Questionnaire Index Attitudes Perception Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
title_short |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
title_full |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
title_fullStr |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
title_full_unstemmed |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
title_sort |
Initial validation of the general attitudes towards Artificial Intelligence Scale |
dc.subject.spa.fl_str_mv |
Artificial intelligence Psychometrics Questionnaire Index Attitudes Perception |
topic |
Artificial intelligence Psychometrics Questionnaire Index Attitudes Perception Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
dc.subject.lemb.spa.fl_str_mv |
Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
description |
A new General Attitudes towards Artificial Intelligence Scale (GAAIS) was developed. The scale underwent initial statistical validation via Exploratory Factor Analysis, which identified positive and negative subscales. Both subscales captured emotions in line with their valence. In addition, the positive subscale reflected societal and personal utility, whereas the negative subscale reflected concerns. The scale showed good psychometric indices and convergent and discriminant validity against existing measures. To cross-validate general attitudes with attitudes towards specific instances of AI applications, summaries of tasks accomplished by specific applications of Artificial Intelligence were sourced from newspaper articles. These were rated for comfortableness and perceived capability. Comfortableness with specific applications was a strong predictor of general attitudes as measured by the GAAIS, but perceived capability was a weaker predictor. Participants viewed AI applications involving big data (e.g. astronomy, law, pharmacology) positively, but viewed applications for tasks involving human judgement, (e.g. medical treatment, psychological counselling) negatively. Applications with a strong ethical dimension led to stronger discomfort than their rated capabilities would predict. The survey data suggested that people held mixed views of AI. The initially validated two-factor GAAIS to measure General Attitudes towards Artificial Intelligence is included in the Appendix. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-09-08T15:19:48Z |
dc.date.available.none.fl_str_mv |
2020-09-08T15:19:48Z |
dc.date.created.none.fl_str_mv |
2020-02-07 |
dc.type.local.spa.fl_str_mv |
Artículo |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
format |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.spa.fl_str_mv |
2451-9588 |
dc.identifier.other.spa.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S2451958820300142?via%3Dihub#abs0010 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/12904 |
dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1016/j.chbr.2020.100014 |
identifier_str_mv |
2451-9588 |
url |
https://www.sciencedirect.com/science/article/pii/S2451958820300142?via%3Dihub#abs0010 http://hdl.handle.net/20.500.12010/12904 https://doi.org/10.1016/j.chbr.2020.100014 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.local.spa.fl_str_mv |
Acceso restringido |
rights_invalid_str_mv |
Acceso restringido http://purl.org/coar/access_right/c_16ec |
dc.format.extent.spa.fl_str_mv |
13 páginas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Computers in Human Behavior Reports |
dc.source.spa.fl_str_mv |
reponame:Expeditio Repositorio Institucional UJTL instname:Universidad de Bogotá Jorge Tadeo Lozano |
instname_str |
Universidad de Bogotá Jorge Tadeo Lozano |
institution |
Universidad de Bogotá Jorge Tadeo Lozano |
reponame_str |
Expeditio Repositorio Institucional UJTL |
collection |
Expeditio Repositorio Institucional UJTL |
bitstream.url.fl_str_mv |
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2020-09-08T15:19:48Z2020-09-08T15:19:48Z2020-02-072451-9588https://www.sciencedirect.com/science/article/pii/S2451958820300142?via%3Dihub#abs0010http://hdl.handle.net/20.500.12010/12904https://doi.org/10.1016/j.chbr.2020.10001413 páginasapplication/pdfengComputers in Human Behavior Reportsreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoArtificial intelligencePsychometricsQuestionnaireIndexAttitudesPerceptionSíndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusInitial validation of the general attitudes towards Artificial Intelligence ScaleArtículohttp://purl.org/coar/resource_type/c_6501Acceso restringidohttp://purl.org/coar/access_right/c_16ecA new General Attitudes towards Artificial Intelligence Scale (GAAIS) was developed. The scale underwent initial statistical validation via Exploratory Factor Analysis, which identified positive and negative subscales. Both subscales captured emotions in line with their valence. In addition, the positive subscale reflected societal and personal utility, whereas the negative subscale reflected concerns. The scale showed good psychometric indices and convergent and discriminant validity against existing measures. To cross-validate general attitudes with attitudes towards specific instances of AI applications, summaries of tasks accomplished by specific applications of Artificial Intelligence were sourced from newspaper articles. These were rated for comfortableness and perceived capability. Comfortableness with specific applications was a strong predictor of general attitudes as measured by the GAAIS, but perceived capability was a weaker predictor. Participants viewed AI applications involving big data (e.g. astronomy, law, pharmacology) positively, but viewed applications for tasks involving human judgement, (e.g. medical treatment, psychological counselling) negatively. Applications with a strong ethical dimension led to stronger discomfort than their rated capabilities would predict. The survey data suggested that people held mixed views of AI. The initially validated two-factor GAAIS to measure General Attitudes towards Artificial Intelligence is included in the Appendix.Schepman, AstridRodway, PaulORIGINALInitial validation of the general attitudes towards Artificial Intelligence Scale.pdfInitial validation of the general attitudes towards Artificial Intelligence Scale.pdfDocumento Reservadoapplication/pdf2025059https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12904/3/Initial%20validation%20of%20the%20general%20attitudes%20towards%20Artificial%20Intelligence%20Scale.pdf36b0bbe112b4bd8a89408f0da108745aMD53embargoed access|||2420-09-08LICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12904/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILInitial validation of the general attitudes towards Artificial Intelligence Scale.pngInitial validation of the general attitudes towards Artificial Intelligence Scale.pngimage/png108410https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12904/4/Initial%20validation%20of%20the%20general%20attitudes%20towards%20Artificial%20Intelligence%20Scale.png9e01fdedc3c9e5f6ef778a47ece6b0e4MD54open accessInitial validation of the general attitudes towards Artificial Intelligence Scale.pdf.jpgInitial validation of the general attitudes towards Artificial Intelligence Scale.pdf.jpgIM Thumbnailimage/jpeg22265https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12904/5/Initial%20validation%20of%20the%20general%20attitudes%20towards%20Artificial%20Intelligence%20Scale.pdf.jpga48d6bd1eaf5e0714f5a2bd36406c340MD55open access20.500.12010/12904oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/129042020-09-08 10:22:11.452embargoed access|||2420-09-08Repositorio Institucional - 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