Senja Požar, M.Sc., Managing Editor of JAISD and International Projects Manager at IRCAI, under the auspices of UNESCO and the Jožef Stefan Institute, Slovenia. She has nearly 30 years of experience in publishing, having held several key roles and advanced international cooperation for the largest publishing houses. She has been an active member of Publishers Without Borders since 2020.

Mitja Jermol, M.Sc., holds UNESCO Chair in Open Technologies for OERs and Open Education and is Deputy Head of IRCAI at the Jožef Stefan Institute. He works on AI for business intelligence, personalized learning, and smart cities/factories, focusing on knowledge and complex systems. With the University of Nova Gorica he launched Open Education for a Better World and has worked on 30+ RTD projects.

Panagiotis Kapos, PhD, Panteion University (Department of Communication, Media & Culture), and is Vice President of the Hellenic Foundation for Books and Culture (HFBC). Combining research with professional practice, he has been active in the book market, publishing, and cultural sectors since 2005. His research and articles have been published in conference proceedings, academic journals, and books.

Nadim Sadek, holds a degree in Pure Psychology from Trinity College Dublin, and is CEO of Shimmr AI and a recipient of the AI Startup of the Year award in London and Frankfurt. He is the author of Shimmer, Don’t Shake – How Publishing Can Embrace AI and Quiver, Don’t Quake – How Creativity Can Embrace AI. Nadim writes for The Bookseller, delivers global thought leadership on AI, and serves as a Board Advisor to BookBrunch and Sinai AI.

Artificial intelligence (AI), and in particular large language models (LLMs), are rapidly transforming the creation, production, translation, and dissemination of knowledge. These technologies offer unprecedented opportunities to expand access, enable multilingual communication, and develop more adaptive and intelligent knowledge systems. At the same time, they raise fundamental questions regarding authorship, ownership, editorial responsibility, and the conditions under which knowledge remains trustworthy, diverse, and equitable. AI is no longer external to publishing; it is increasingly embedded within it. From authoring and editing to translation, discovery, and marketing, AI operates as a collaborative partner across the publishing value chain. The central challenge is therefore not only how AI transforms publishing, but how publishing—together with academic, policy, and industry actors—actively shapes its integration in ways that preserve quality, accountability, and cultural diversity. This transformation is closely linked to the evolution of Open Educational Resources (OER), generating new hybrid models between open and proprietary knowledge systems, and redefining how readers discover, access, and engage with content. This special issue invites interdisciplinary, theoretically grounded, and empirically informed contributions that critically and constructively engage with these developments. This special issue aims to advance scholarly and practice-oriented understanding of how AI and large language models are transforming publishing and knowledge ecosystems. It seeks to contribute to the development of responsible, inclusive, and sustainable approaches to AI in knowledge production, dissemination, and governance.

We welcome contributions from across disciplines, including computer science, publishing studies, law, media and communication, education, and the social sciences. Submissions may address, but are not limited to, the following priority themes:

1. AI and Knowledge Production

• LLMs in authoring, editing, summarisation, and content adaptation
• Human–AI collaboration in scholarly and educational publishing
• Reliability, bias, and quality assurance in AI-generated content
• The evolving relationship between AI capabilities and editorial judgement

2. Authorship, Ownership, and Intellectual Property

• Redefining authorship in AI-assisted and AI-generated works
• Copyright, licensing, and attribution in human–AI co-creation
• Moral rights, accountability, and editorial responsibility
• Legal and ethical frameworks for AI-generated scholarly content

3. Open Educational Resources and Publishing Models

• AI and the evolution of open versus proprietary publishing systems
• Sustainability models for OER in the age of generative AI
• Hybrid models combining classical publishing and open knowledge frameworks
• Economic implications of AI for access to knowledge

4. Discovery, Marketing, and Reader Interaction

• AI-driven discovery, recommendation, and personalisation
• Intelligent marketing and catalogue-scale publishing strategies
• Changing reader–content relationships in AI-mediated environments
• Ethical implications of automated content discovery and promotion

5. Human Dimensions: Authorship, Reading, and Trust

• Reader trust and perception of AI-generated content
• Identity, voice, and agency in human–AI creative collaboration
• Psychological and phenomenological aspects of reading in AI contexts
• Transparency and authenticity in AI-mediated publishing

6. Translation and Multilingual Knowledge Systems

• AI-assisted translation in scholarly and educational contexts
• Human–AI collaboration in translation workflows
• Cultural and epistemological implications of automated translation
• AI and global access to multilingual knowledge

7. Governance, Ethics, and Sustainable Knowledge Ecosystems

• Regulatory and policy frameworks for AI in publishing and education
• Ethical AI aligned with UNESCO principles and SDGs
• Institutional responses to AI adoption in publishing and academia
• Governance models balancing innovation, accountability, and rights

We particularly encourage contributions addressing global perspectives, including research on the Global South, non-Western knowledge systems, and linguistic diversity. We invite: Original research articles, theoretical and conceptual papers, legal and policy analyses, empirical and case study research, interdisciplinary contributions, practitioner-oriented and industry-informed research, submissions that bridge theory and practice are particularly encouraged.

1. How are LLMs reshaping authorship, originality, and intellectual ownership?
2. How should copyright and licensing frameworks evolve in response to AI?
3. What sustainable models can support both open and proprietary publishing ecosystems?
4. How is AI transforming discovery, reader engagement, and publishing practice?
5. What are the psychological and social dimensions of human–AI collaboration in knowledge production?
6. How can AI support equitable access to knowledge while preserving cultural diversity?
7. What governance and institutional frameworks are needed for responsible AI adoption?

Call for abstracts: Abstracts (300–500 words) should clearly outline the research focus and relevance to the journal’s scope/pillar, methodology, and interdisciplinary contribution, as well as anticipated findings or implications.

Review of abstracts: A rolling review process will begin during the final weeks of the call. This will allow early submissions to receive feedback promptly. All reviews will be completed within one month of the call’s closing. Selected authors will receive invitations to submit full manuscripts.

Manuscript development window: Authors will be invited to submit manuscripts between 4,000 and 5,000 words until August 15, 2026. Manuscripts will then undergo peer review. Once authors received their peer reviews, they will have a maximum of 6 weeks to send their final version. The collection will be published in October 2026.

Submit your paper to: info@ircai.org. Please address your submission to Mrs. Senja Požar and include the issue’s title.

Abstract deadline: May 15, 2026

Full manuscript deadline: August 30, 2026

Publication date: October 2026

For more information, contact the editorial team at info@ircai.org.