Types of Gender Bias in Answers of Large Language Models: Case of ChatGPT-4

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dc.contributor.advisorOksamytna, Svitlanaen_US
dc.contributor.authorKholodylo, Olesiaen_US
dc.date.accessioned2024-07-10T07:10:49Z
dc.date.available2024-07-10T07:10:49Z
dc.date.issued2024
dc.description.abstractThe study aims to reveal the intangible and tangible ways sexist prejudice is filtered into AI results.en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/30387
dc.language.isoen_US
dc.statusfirst published
dc.subjectartificial intelligenceen_US
dc.subjectnatural language processing algorithmsen_US
dc.subjectlarge language model (LLM)en_US
dc.subjectchatGPT-4en_US
dc.subjectgender biasen_US
dc.subjectbachelor worken_US
dc.titleTypes of Gender Bias in Answers of Large Language Models: Case of ChatGPT-4en_US
dc.typeOther
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