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Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities

Authors :
Malvika Pillai
Ashley C Griffin
Clair A Kronk
Terika McCall
Source :
Journal of Medical Internet Research, Vol 25, p e48498 (2023)
Publication Year :
2023
Publisher :
JMIR Publications, 2023.

Abstract

Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and health care applications. These advancements have also generated concerns around perpetuation of historical injustices and that these tools lack cultural considerations. While traditional health care NLP techniques typically include clinical subject matter experts to extract health information or aid in interpretation, few NLP tools involve community stakeholders with lived experiences. In this perspective paper, we draw upon the field of community-based participatory research, which gathers input from community members for development of public health interventions, to identify and examine ways to equitably involve communities in developing health care NLP tools. To realize the potential of community-based NLP (CBNLP), research and development teams must thoughtfully consider mechanisms and resources needed to effectively collaborate with community members for maximal societal and ethical impact of NLP-based tools.

Details

Language :
English
ISSN :
14388871
Volume :
25
Database :
Directory of Open Access Journals
Journal :
Journal of Medical Internet Research
Publication Type :
Academic Journal
Accession number :
edsdoj.2927203028c2422baf24348f4420e00d
Document Type :
article
Full Text :
https://doi.org/10.2196/48498