Restraining Cultural Stereotyping in Computational Linguistics through Computational Ethics
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Abstract
Computational linguistics is one of the achievements of science and technology in the 21st century. It has the ability to enable machines to understand, analyze and process human language with the aid of algorithms. Computational linguistics can in advertently perpetuate cultural stereotypes if not carefully considered in the development of language processing algorithms and models. It is important for computation al linguists to be aware of the potential biases in their work and strive to create inclusive and culturally sensitive tools and resources. Computational ethics, can promote diversity and inclusivity in computational linguistics, we can help mitigate the impact of cultural stereotypes and contribute to a more equitable and respectful society. Using a philosophical method of analysis, this study finds that cultural stereotypes can result from the misrepresentation and misunderstanding of cultural nuances, privacy violations, and many others. How can these moral issues be addressed? The study concludes that the implementation of computational ethics in the development of algorithms which recognize linguistic diversities can promote fairness, transparency, and respect for human rights.
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