[Lgpolicy] CFP - Language Policy and Planning in the Age of Artificial Intelligence

[Francis M. Hult via Lgpolicy]

 *Call for papers*
*Language Policy and Planning in the Age of Artificial Intelligence*
*Special issue for Current Issues in Language Planning *
*https://www.tandfonline.com/journals/rclp20*
<https://www.tandfonline.com/journals/rclp20>
Artificial intelligence (AI) is rapidly transforming the ways in which
language is produced, mediated, governed, and valued across societies.
Systems based on large-scale machine learning now play a growing role in
translation, content moderation, speech recognition, language learning, and
administrative communication. As AI technologies become embedded in
language practices in educational and governmental institutions,
workplaces, and individuals, they are increasingly shaping linguistic
practices and hierarchies, raising urgent questions for the field of
Language Policy and Planning (LPP). This special issue seeks to examine the
complex and evolving relationship between AI and LPP from two complementary
perspectives: the governance of AI itself and the consequences of AI
systems for language policy.
First, AI technologies have become a new object of policy and planning.
Governments, international organisations, and technology companies are
actively developing frameworks to regulate AI development, deployment, and
accountability. Within these debates, language plays a crucial yet often
overlooked role. Decisions about which languages are supported by AI
systems, how linguistic data are collected and governed, and how
multilingualism is represented in AI models all have significant
implications for linguistic rights, language maintenance, and digital
inclusion. Policies concerning data governance, algorithmic transparency,
and technological standards may therefore function implicitly or explicitly
as forms of language policy. Understanding how language considerations are
incorporated into AI governance is thus an important emerging area of LPP
research.
Second, AI technologies themselves are becoming powerful actors in the
language policy landscape. Automated translation systems, generative
language models, and speech technologies increasingly mediate
communication. These tools can expand access to information across
languages, but they may also reproduce or intensify existing linguistic
inequalities if they privilege high-resource languages or encode biases
present in training data. The integration of AI into institutional and
everyday communication may therefore reshape language practices, influence
language learning priorities, and alter the perceived value of different
languages and varieties.
This special issue invites contributions that critically examine how AI is
reshaping LPP across global, national, and local contexts. By exploring
both the policy frameworks governing AI and the LPP consequences of AI
technologies, this issue aims to advance understanding of how emerging
technological infrastructures are transforming the governance,
distribution, and future of language in the digital age.
Suggested themes include, but are not limited to:

   - AI governance and regulation as forms of LPP, including linguistic
   dimensions of frameworks such as the European Union AI Act.
   - How LPP decisions in the design and implementation of AI systems
   developed within Natural Language Processing have consequences for
   representation, bias, and inequality of languages.
   - LPP relating to the use of AI-mediated communication tools (e.g.,
   automated translation, chatbots, and generative systems) in public
   institutions and their implications for language access and linguistic
   rights.
   - LPP as evidenced in linguistic data governance, including questions of
   data ownership, consent, and the extraction or stewardship of language
   resources used to train AI systems.
   - How AI is redefining policies for digital literacy
   - The influence of generative AI on language norms, standardization,
   writing practices, and perceptions of linguistic authority.
   - LPP responses to AI in educational institutions, workplaces, and other
   organizational contexts, including implications for multilingualism and
   language learning.
   - AI as a non-human LPP agent

If you wish to contribute to this special issue, please send an abstract to
Tony Liddicoat (*A.Liddicoat at warwick.ac.uk* <A.Liddicoat at warwick.ac.uk>)
and Catherine Chua (*catherine_chua at np.edu.sg* <catherine_chua at np.edu.sg>)
by 31 May. Selected papers will be due for submission on October 31 October.
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