37.2049, Confs: Language, the Self and AI: Resilience and Responsibility in the Age of the Algorithm (Italy)

[The LINGUIST List]

LINGUIST List: Vol-37-2049. Thu Jun 11 2026. ISSN: 1069 - 4875.

Subject: 37.2049, Confs: Language, the Self and  AI: Resilience and Responsibility in the Age of the Algorithm (Italy)

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Date: 11-Jun-2026
From: Christopher Fotheringham [directorofstudies at mediazionelingistica.it]
Subject: Language, the Self and  AI: Resilience and Responsibility in the Age of the Algorithm


Language, the Self and  AI: Resilience and Responsibility in the Age
of the Algorithm
Theme: Human–AI Interaction & Professional Practice. Language, Society
& Public Discourse. AI, Disinformation & Epistemic Integrity.
Pedagogy, Training & Disciplinary Futures.

Date: 12-May-2027 - 14-May-2027
Location: Pisa, Italy
Contact: Christopher Fotheringham
Contact Email: directorofstudies at mediazionelinguistica.it
Meeting URL: https://www.mediazionelinguistica.it/call-for-papers/

Linguistic Field(s): Applied Linguistics; Computational Linguistics;
Text/Corpus Linguistics; Translation

Submission Deadline: 15-Nov-2026

Language, creativity, human agency and ethics in the age of AI.
In few realms of human activity has the impact of artificial
intelligence been felt as immediately and visibly as in language. For
many people, AI and language technology are now synonymous — from
neural machine translation systems like DeepL to large language model
interfaces such as ChatGPT and Claude, technologies that achieved some
of the fastest adoption rates in the history of communication media.
Yet beneath the surface of this remarkable efficiency lies a set of
urgent and unresolved questions. The capacity of AI systems to
generate fluent multilingual output at scale has made them central
actors in contemporary information ecosystems, shaping which voices
are amplified, which varieties of language are standardised, and which
forms of knowledge are rendered invisible. Issues of bias, linguistic
inequality, and epistemic asymmetry are not incidental features of
these tools — they are structurally embedded in how they are designed
and deployed. Language is inseparable from how human beings frame
experience, construct identity, and interact with the world. A
technology that so faithfully mimics communication — the very basis of
human identity and connection — demands rigorous, multidisciplinary
scrutiny. This conference brings together academics, researchers,
practitioners, educators, policy-makers, and industry professionals to
examine what AI means for language: its diversity, its integrity, its
future, and the people whose lives and livelihoods depend on it.
If language is indeed, as Heidegger puts it, the “house of being,”
then those who work with it—linguists, writers, translators,
educators, and everyday users—bear a clear ethical responsibility in
the age of AI: to resist and question purely utilitarian
considerations and to preserve the capacity of language to reveal,
nuance, and sustain human understanding. AI systems, by design, tend
toward standardization, optimization, and probabilistic reproduction,
which risks flattening ambiguity, eroding minority expressions, and
privileging dominant linguistic patterns. In Heideggerian terms, the
task is not to reject technology outright, but to prevent the “house”
from being converted into a purely functional structure—ensuring
instead that language remains a space where meaning can emerge, rather
than merely be processed. Language, creativity, human agency and
ethics in the age of AI.
Language, the Self, and AI is the inaugural symposium of LaTeR Lab, a
new research centre established at the Scuola Superiore per Mediatori
Linguistici di Pisa (SSML Pisa) dedicated to the intersection of
language, technology, and professional practice. The conference is
conceived as a genuinely interdisciplinary event — as relevant to
translators and interpreters as to computer scientists, as relevant to
ethicists and policy-makers as to linguists and educators.
Track 1
Human–AI Interaction and Professional Practice
Post-editing, interactive MT, AI-assisted interpreting; legal,
medical, technical and literary domains; quality, accreditation, and
the economics of AI-disrupted language professions.
Track 2
AI, Disinformation, and Epistemic Integrity
AI-generated text and disinformation architectures; deepfakes and
synthetic voice; algorithmic amplification; multilingual
fact￾checking; the geopolitics of language targeting.
Track 3
Language, Society, and Public Discourse
Authorship and creative expression; identity, alienation, and
algorithmic representation; journalism and institutional discourse;
oral cultures and low-resource languages.
Track 4
Pedagogy, Training, and Disciplinary Futures
AI literacy in translator and interpreter training; curriculum design
for AI-integrated programmes; assessment and academic integrity; what
remains distinctively human.
Queries and abstract submissions:
Christopher Fotheringham
directorofstudies at mediazionelinguistica.it



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