Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 25, 2023
Date Accepted: Jul 21, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Towards Community-based Natural Language Processing (CBNLP): Co-creating with Communities
ABSTRACT
Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and healthcare applications. These advancements have also generated concerns around perpetuating historical injustices and tools that lack cultural considerations. While traditional healthcare NLP processes 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, 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 healthcare 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.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.