Gender bias in queer translations of sociomedical texts mediated by artificial intelligence (ChatGPT, v. 3.5)
DOI:
https://doi.org/10.24197/8m5kat14Keywords:
Artificial intelligence, queer, non-binary, machine translation, biasAbstract
Several studies confirm that texts created by artificial intelligences perpetuate the biases with which they are fed. In this sense, it is worth asking whether translations rendered by artificial intelligence also perpetuate biases. This study seeks to confirm the presence of gender binary biases in translations produced by the ChatGPT tool (v. 3.5). For this purpose, translations of queer texts produced by ChatGPT in the EN>ES language pair have been collected and analysed. The study of the corpus has allowed us to confirm the presence of both sexist gender biases and binary gender biases.
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