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        <title>Understanding “Democratization” in NLP and ML Research</title>
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    <abstract>Recent improvements in natural language processing (NLP) and machine learning (ML) and increased mainstream adoption have led to researchers frequently discussing the “democratization” of artificial intelligence. In this paper, we seek to clarify how democratization is understood in NLP and ML publications, through large-scale mixed-methods analyses of papers using the keyword “democra*” published in NLP and adjacent venues. We find that democratization is most frequently used to convey (ease of) access to or use of technologies, without meaningfully engaging with theories of democratization, while research using other invocations of “democra*” tends to be grounded in theories of deliberation and debate. Based on our findings, we call for researchers to enrich their use of the term democratization with appropriate theory, towards democratic technologies beyond superficial access.</abstract>
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    <identifier type="doi">10.18653/v1/2024.emnlp-main.184</identifier>
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%0 Conference Proceedings
%T Understanding “Democratization” in NLP and ML Research
%A Subramonian, Arjun
%A Gautam, Vagrant
%A Klakow, Dietrich
%A Talat, Zeerak
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F subramonian-etal-2024-understanding
%X Recent improvements in natural language processing (NLP) and machine learning (ML) and increased mainstream adoption have led to researchers frequently discussing the “democratization” of artificial intelligence. In this paper, we seek to clarify how democratization is understood in NLP and ML publications, through large-scale mixed-methods analyses of papers using the keyword “democra*” published in NLP and adjacent venues. We find that democratization is most frequently used to convey (ease of) access to or use of technologies, without meaningfully engaging with theories of democratization, while research using other invocations of “democra*” tends to be grounded in theories of deliberation and debate. Based on our findings, we call for researchers to enrich their use of the term democratization with appropriate theory, towards democratic technologies beyond superficial access.
%R 10.18653/v1/2024.emnlp-main.184
%U https://aclanthology.org/2024.emnlp-main.184
%U https://doi.org/10.18653/v1/2024.emnlp-main.184
%P 3151-3166

Markdown (Informal)

[Understanding “Democratization” in NLP and ML Research](https://aclanthology.org/2024.emnlp-main.184) (Subramonian et al., EMNLP 2024)

• Understanding “Democratization” in NLP and ML Research (Subramonian et al., EMNLP 2024)

ACL

• Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, and Zeerak Talat. 2024. Understanding “Democratization” in NLP and ML Research. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3151–3166, Miami, Florida, USA. Association for Computational Linguistics.