Ética para LLMs: o compartilhamento de dados sociolinguísticos
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866909447429816320 |
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| author | Sousa, Marta Deysiane Alves Faria Freitag, Raquel Meister Ko. de Gois, Túlio Sousa |
| author_facet | Sousa, Marta Deysiane Alves Faria Freitag, Raquel Meister Ko. de Gois, Túlio Sousa |
| contents | The collection of speech data carried out in Sociolinguistics has the potential to enhance large language models due to its quality and representativeness. In this paper, we examine the ethical considerations associated with the gathering and dissemination of such data. Additionally, we outline strategies for addressing the sensitivity of speech data, as it may facilitate the identification of informants who contributed with their speech. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_07512 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ética para LLMs: o compartilhamento de dados sociolinguísticos Sousa, Marta Deysiane Alves Faria Freitag, Raquel Meister Ko. de Gois, Túlio Sousa Computers and Society The collection of speech data carried out in Sociolinguistics has the potential to enhance large language models due to its quality and representativeness. In this paper, we examine the ethical considerations associated with the gathering and dissemination of such data. Additionally, we outline strategies for addressing the sensitivity of speech data, as it may facilitate the identification of informants who contributed with their speech. |
| title | Ética para LLMs: o compartilhamento de dados sociolinguísticos |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2411.07512 |