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Mapping the Ethical Landscape of GenAI: Insights from Applied Linguistics Publication Policies
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The swift rise of generative AI (GenAI) in 2022 has led to extensive acceptance in academic fields; yet, applied
linguists have not achieved agreement on its ethical and suitable application in research. This study underscores the urgent
necessity for enhanced GenAI literacy among scholars, especially those involved in composing research articles. We analyze
76 papers chosen from 170 high-impact applied linguistics journals to examine the scope and character of GenAI use
guidelines. Three fundamental dimensions—authorship, use cases, and human responsibility—were addressed by the
seventeen particular elements and four general requirements that comprised the structured checklist. The results indicate
substantial discrepancies among journals. Only fifty percent provided guidelines linked to GenAI for authors, and the
comprehensiveness and extent of these suggestions differed significantly. Significant discord existed concerning the
applicability of GenAI technologies for functions such as idea generation, image or data creation, data collecting, analysis
and interpretation, or manuscript composition. Moreover, the inconsistency in the declaration of GenAI usage further
complicated ethical interaction with the technology. In light of these concerns, we suggest implementable solutions for
journals to improve their GenAI-related policies and encourage responsible usage among authors. A new conceptual
framework describing the competencies researchers need to navigate the ethical and transparent use of GenAI is introduced
in our study, GenAI-LR, which is central to research article writing. This study offers pragmatic recommendations based
on empirical evidence to assist scholars and editors in harmonizing GenAI practices with advancing academic norms.
International Journal of Innovative Science and Research Technology
Title: Mapping the Ethical Landscape of GenAI: Insights from Applied Linguistics Publication Policies
Description:
The swift rise of generative AI (GenAI) in 2022 has led to extensive acceptance in academic fields; yet, applied
linguists have not achieved agreement on its ethical and suitable application in research.
This study underscores the urgent
necessity for enhanced GenAI literacy among scholars, especially those involved in composing research articles.
We analyze
76 papers chosen from 170 high-impact applied linguistics journals to examine the scope and character of GenAI use
guidelines.
Three fundamental dimensions—authorship, use cases, and human responsibility—were addressed by the
seventeen particular elements and four general requirements that comprised the structured checklist.
The results indicate
substantial discrepancies among journals.
Only fifty percent provided guidelines linked to GenAI for authors, and the
comprehensiveness and extent of these suggestions differed significantly.
Significant discord existed concerning the
applicability of GenAI technologies for functions such as idea generation, image or data creation, data collecting, analysis
and interpretation, or manuscript composition.
Moreover, the inconsistency in the declaration of GenAI usage further
complicated ethical interaction with the technology.
In light of these concerns, we suggest implementable solutions for
journals to improve their GenAI-related policies and encourage responsible usage among authors.
A new conceptual
framework describing the competencies researchers need to navigate the ethical and transparent use of GenAI is introduced
in our study, GenAI-LR, which is central to research article writing.
This study offers pragmatic recommendations based
on empirical evidence to assist scholars and editors in harmonizing GenAI practices with advancing academic norms.
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