[Commlist] Call for Special Issue: Artificial Intelligence in Academia

***Special Issue: Artificial Intelligence in Academia ***

*Editors: Wenceslao Arroyo (Universidad de Granada) and
Daniel Torres-Salinas (Universidad de Granada)
*Journal: BiD (https://bid.ub.edu/en <https://bid.ub.edu/en>)

**Open Access – No Article Processing Charges**
**Indexed at – Scopus (Q4 in Library and Information Sciences) and Web
of Science – Emerging Sources Citation Index**
Instructions and submission: 
https://revistes.ub.edu/index.php/bid/about/submissions 
<https://revistes.ub.edu/index.php/bid/about/submissions>

**Timeline**

Full Papers Submission: June15, 2025

Publication: Not earlier than July 2025

*Artificial Intelligence in Academia *
The incorporation of Artificial Intelligence (AI) into academia has 
brought about a revolution on multiple fronts, from research to teaching 
and administration. This paradigm shift presents both opportunities and 
challenges, prompting deep reflection on traditional methodologies and 
existing institutional structures.
The ability of large language models (LLMs) to process and generate 
information on previously unimaginable scales raises fundamental 
questions about the role of education and research in the digital age. 
The integration of AI in universities and libraries not only optimizes 
existing processes but also opens new pathways for knowledge access and 
management, transforming pedagogical and research practices.
However, the adoption of such technologies entails significant ethical 
considerations, particularly concerning data privacy and intellectual 
autonomy. Likewise, the effectiveness of AI in academia depends on the 
establishment of regulatory frameworks that ensure its responsible and 
equitable use.
This call for papers aims to explore these dimensions, providing a forum 
for critical analysis and discussion on how AI is reshaping the academic 
landscape. Without attempting to offer an exhaustive or restrictive list 
of topics, we welcome contributions related to the following issues:

  * *Teaching and research competencies in AI tools*: Strategies for
    professional development in the use of AI technologies.
  * *Automation in research*: The use of AI in research processes, from
    minor text editing tasks to advanced methodological development.
  * *Impact of AI on academic publishing*: Transformations in editorial
    processes (peer review) and knowledge dissemination practices.
  * *Impact of AI on academic integrity*: Challenges and solutions
    regarding AI-generated academic work (undergraduate and master’s
    theses, doctoral dissertations) and scientific publications
    (articles, books, etc.).
  * *Automated student assessment through AI*: Implications and
    effectiveness of evaluation systems in relation to AI-generated
    content, as well as the implementation of AI-assisted assessment
    techniques.
  * *Personalization of teaching*: Implementation of systems that tailor
    content and learning pace to individual needs.
  * *AI in academic administration*: Analysis of how AI contributes to
    operational efficiency and management tasks in academic contexts.
  * *Development of AI tools for libraries*: Innovations in collection
    management, search queries, and access to resources or other
    documentary applications.
  * *AI and ethics in academia*: Discussions on equity, transparency,
    and privacy in the use of these emerging technologies.

We look forward to receiving contributions that critically engage with 
these themes and shed light on the evolving role of AI in academia.



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