Journal of Business and Technical Communication Jan 2025

Technical Communication's Fight Against Extractive Large Language Modeling by Applying FAIR and CARE Principles of Data

Chris A. Lindgren ; Erin Yunes Virginia Tech ; Cana Uluak Itchuaqiyaq Virginia Tech

Abstract

This article assesses the data practices of Grammarly, the prominent AI-assisted writing technology, by applying data principles that advocate for empowering Indigenous data sovereignty. The assessment is informed by the authors’ work with an Inuit tribal organization from rural Arctic Alaska that generated data and metadata about potentially sacred tribal activities. Their analysis of Grammarly's large-language modeling practices demonstrates how technical communication can hold businesses to principled data practices created by Indigenous nations and communities that understand how to create more just futures.

Journal
Journal of Business and Technical Communication
Published
2025-01-01
DOI
10.1177/10506519241280587
Open Access
Closed
Topics
multimodality artificial intelligence technical communication race and writing

Citation Context

Cited by in this index (1)

  1. Long et al. (2025)
    Reimagining Archives in the Age of Automation: A Decolonial and Relational Approach
    Technical Communication Quarterly

Cites in this index (6)

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    Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in t…
    Journal of Business and Technical Communication
  2. Walwema et al. (2022)
    Introduction to Special Issue on 21st-Century Ethics in Technical Communication…
    Journal of Business and Technical Communication
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    AI for Social Justice: New Methodological Horizons in Technical Communication
    Technical Communication Quarterly
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    “Missing/Unspecified”: Demographic Data Visualization During the COVID-19 Pandemic
    Journal of Business and Technical Communication
  5. Frith (2017)
    Big Data, Technical Communication, and the Smart City
    Journal of Business and Technical Communication
Show all 6 →
  1. Haas (2012)
    Race, Rhetoric, and Technology
    Journal of Business and Technical Communication
Also cites 9 works outside this index ↓
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  3. 10.3389/fgene.2022.823309
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CrossRef global citation count: 3 View in citation network →

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