Call for Papers 

Institutions across higher education, legislative bodies, the judiciary, public broadcasting, and public health agencies exert significant influence through their communication practices, yet they often reproduce biases embedded in traditional linguistic conventions. Recent global events have also emphasized the imperative for these institutions to guarantee both the broad dissemination of information and the protection of public well-being via accessible, unbiased, representative, and inclusive messaging. Although the rapid expansion of large language models offers promising avenues for automating inclusive and accessible language use, these systems often mirror and even exacerbate existing prejudices. Addressing these challenges demands a transdisciplinary response: computer scientists and linguists must collaborate to unpack the distinct and cross-linguistic gender markings and manifestations of bias, as well as the features of accessible language, all within a human-centered AI paradigm. By anchoring AI training in a multilingual ‘gold standard’ derived from rigorously curated linguistic resources, we can recalibrate and steer automated outputs toward unbiased language, gender sensitivity, and accessibility, thereby promoting equity in institutional discourse. 

The LINFA: Linguistic & Informatic insights on AI for gender, accessibility, and inclusivity workshop aims to translate our research foundation into concrete, collaborative action by convening scholars and practitioners from different disciplines to advance AI-driven strategies for equitable, gender-inclusive, and accessible institutional communication. We invite submissions that critically examine existing language technologies, evaluate or propose novel multilingual resources, explore the sociolinguistic dimensions of equitable, gender-sensitive, and accessible discourse across different languages, and showcase prototype applications or empirical assessments of user impact in real-world contexts.

Topics

The workshop will explore a range of themes in support of its goal – to foster an interdisciplinary dialogue for enhancing equity and inclusivity in cross-linguistic institutional messaging through principled, multilingual, human-centered AI solutions – including, but not limited to, the following:

•  gender bias and inequitable messaging in institutional communication

•  human-centered AI paradigms and bias-mitigation strategies

•  design and curation of multilingual resources for inclusive training data

•  cross-linguistic and sociolinguistic analyses of gender marking, bias, and/or prejudicial discourses

•  critical evaluation of LLMs and other language technologies for automated inclusive language

•  obstacles to comprehensibility and accessibility in institutional texts

•  plain-language and accessibility best practices for institutional communication

•  prototype applications of AI tools in real-world institutional contexts

•  empirical methodologies for assessing user reception, impact, comprehension, and/or trust

•  frameworks and metrics for evaluating and guiding AI-driven inclusive messaging

•  organizational, legal, and policy considerations for sustainable deployment of inclusive AI systems

Submission Guidelines

All submissions will undergo a single-blind peer review. Each contribution will be evaluated by two reviewers from the Program Committee, based on its relevance to the workshop topics and overall scientific quality.

Contributions to the LINFA workshop must be submitted via the EasyChair platform. All submissions should follow the provided template, available in both LaTeX and Microsoft Word formats. To submit your work, click the "Submit through EasyChair" button below.

At the conclusion of the workshop, all presenters will be invited to submit full-length papers for consideration in an international, peer-reviewed, open-access volume to be published after the conference. A rigorous peer-review process will determine the final selection. Submission guidelines and deadlines will be announced at the end of the workshop.