An analysis of gender bias studies in natural language processing
Artificial intelligence systems copy and amplify existing societal biases, a problem that by now is widely acknowledged and studied. But is current research of gender bias in natural language processing actually moving towards a resolution.
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/346419 |
| Acceso en línea: | https://hdl.handle.net/2117/346419 https://dx.doi.org/10.1038/s42256-019-0105-5 |
| Access Level: | acceso abierto |
| Palabra clave: | Sexism in language Sex discrimination Natural language processing (Computer science) Artificial intelligence Natural language processing Gender bias Sexisme en el llenguatge Discriminació sexual Tractament del llenguatge natural (Informàtica) Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
| Sumario: | Artificial intelligence systems copy and amplify existing societal biases, a problem that by now is widely acknowledged and studied. But is current research of gender bias in natural language processing actually moving towards a resolution. |
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