arbiter
JournalsPricingAccount

Extractive Artificial Intelligence and Its Challenge to Technical Communication

Collin Bjork

Journal of Business and Technical Communication2025https://doi.org/10.1177/10506519251348462article
ABDC C
Weight
0.37

What the paper says

Mainstream artificial intelligence (AI) is an extractive industry that exploits both humans and nonhumans. The extractive underpinning of mainstream AI systems means that technical communicators must be careful when advocating for accessibility and inclusivity in AI because those efforts may expose marginalized groups to further exploitation. Extractive AI also necessitates that technical communicators reconsider how their own discipline may be complicit in the damaging logics and practices of extraction.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1177/10506519251348462

Or copy a formatted citation

@article{collin2025,
  title        = {{Extractive Artificial Intelligence and Its Challenge to Technical Communication}},
  author       = {Collin Bjork},
  journal      = {Journal of Business and Technical Communication},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/10506519251348462},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Extractive Artificial Intelligence and Its Challenge to Technical Communication

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.