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dc.contributor.authorSalvador, Rodrigo Brincalepe
dc.contributor.authorSoares, Henrique M.
dc.contributor.authorTomotani, João V.
dc.date.accessioned2023-04-28T09:16:39Z
dc.date.available2023-04-28T09:16:39Z
dc.date.issued2023
dc.description.abstractThe year of 2022 saw a huge advance in AI technology, especially Large Language Models, or LLMs. This culminated in the release of Chat GPT, an AI Chatbot assistant that, as of the time of this writing, is wowing the public with its uncanny performance.<p> <p>However, chatbots are not the only application of LLMs. One such application is the artificial generation of images. Although such idea is not a novel one (it dates back to the 1970s; Elgammal, 2022), the advancements on large language models allowed a new breakthrough in what these methods are able to achieve.<p> <p>A non-obvious application of such models is as a “probe” for bias in its learning set. Since these models are trained on public datasets collected from the Internet, they tend to reflect the inherent biases present in human generated content. As such, we see the advent of AI generated image as an opportunity to further test the ‘Astolfo Effect’ hypothesis, as first outlined by Tomotani & Salvador (2021).en_US
dc.descriptionSource at <a href=https://jgeekstudies.org/>https://jgeekstudies.org/</a>.en_US
dc.identifier.citationSalvador RB, Soares, Tomotani JV. A practical implication of the Astolfo Effect: bias in AI generated images. Journal of Geek Studies. 2023;10(1):11-17en_US
dc.identifier.cristinIDFRIDAID 2143434
dc.identifier.issn2359-3024
dc.identifier.urihttps://hdl.handle.net/10037/29084
dc.language.isoengen_US
dc.publisherJournal of Geek Studiesen_US
dc.relation.journalJournal of Geek Studies
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en_US
dc.titleA practical implication of the Astolfo Effect: bias in AI generated imagesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)