Should We Ban English NLP for a Year?
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Around two thirds of NLP research at top venues is devoted exclusively to developing technology for speakers of English, most speech data comes from young urban speakers, and most texts used to train language models come from male writers. These biases feed into consumer technologies to widen existing inequality gaps, not only within, but also across, societies. Many have argued that it is almost impossible to mitigate inequality amplification. I argue that, on the contrary, it is quite simple to do so, and that counter-measures would have little-to-no negative impact, except for, perhaps, in the very short term.
Original language | English |
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Title of host publication | Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing |
Publisher | Association for Computational Linguistics |
Publication date | 2022 |
Pages | 5254-5260 |
Publication status | Published - 2022 |
Event | 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 - Abu Dhabi, United Arab Emirates Duration: 7 Dec 2022 → 11 Dec 2022 |
Conference
Conference | 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 |
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Land | United Arab Emirates |
By | Abu Dhabi |
Periode | 07/12/2022 → 11/12/2022 |
Bibliographical note
Publisher Copyright:
© 2022 Association for Computational Linguistics.
Links
- https://aclanthology.org/2022.emnlp-main.351/
Final published version
ID: 342665962