AI as a Research Partner: Advocating for Co-Authorship in Academic Publications

Authors

  • Juan Dempere Higher Colleges of Technology Author https://orcid.org/0000-0002-5036-2355
  • Lakshmana Kumar Ramasamy Higher Colleges of Technology Author
  • James Harris Higher Colleges of Technology Author

DOI:

https://doi.org/10.64044/j8enmv71

Keywords:

AI authorship, epistemic agency, generative AI, human–machine collaboration, scholarly publishing, authorship ethics, contribution-based models, intellectual credit, AI in academic writing, knowledge production, AI copyright

Abstract

This article critically examines the evolving role of generative artificial intelligence (AI) in scholarly authorship, challenging prevailing norms that categorically exclude AI systems from formal recognition. It argues that the current authorship framework—rooted in assumptions about human agency, legal accountability, and conscious intent—is ill-equipped to accommodate the epistemic contributions of increasingly autonomous AI collaborators. Drawing from case studies, authorship policies, and philosophical literature, the paper contends that academic integrity would be better served by adopting a contribution-based model of authorship, one that prioritizes transparency, intellectual input, and distributed responsibility over metaphysical attributes. The article concludes by calling for a proactive redefinition of authorship standards, urging scholarly institutions to adapt to hybrid human–machine knowledge production in a way that is both ethically consistent and epistemologically grounded.

Author Biographies

  • Juan Dempere, Higher Colleges of Technology

    Dr. Juan Dempere is an experienced academic professional with a Ph.D. in Finance and an MBA in IT Management, currently serving as an Assistant Professor of Accounting and Finance at the Business Division of HCT. With over a decade of progressive teaching, research, and leadership across institutions such as HCT (UAE), Colorado Heights University, Colorado School of Mines, and others, he has designed and delivered innovative, interdisciplinary curricula at both undergraduate and graduate levels, emphasizing experiential learning and real-world application. A recognized scholar with a robust publication record in sustainable finance, corporate governance, AI, blockchain, ESG, and IPOs, Dr. Dempere’s work has been featured in top-tier international journals and presented at global conferences. He has successfully led high-impact research projects, secured competitive external funding, and collaborated across disciplines. Passionate about inclusive pedagogy, he mentors students from diverse backgrounds and fosters supportive, equity-driven environments that promote critical thinking and professional development. Actively engaged in industry and community partnerships, he drives initiatives that bridge academic research with practical impact and is highly skilled in strategic academic planning, grant writing, and educational innovation—leveraging data, emerging technologies, and global trends to shape the future of finance education.

  • Lakshmana Kumar Ramasamy, Higher Colleges of Technology

    Dr. Lakshmana Kumar Ramasamy is a faculty member in Computer Information Science at the Higher Colleges of Technology, UAE. He completed his post-doctoral fellowship at Thu Dau Mot University, Vietnam, and serves on the Technical Group Committee of India's National Cyber Defence Research Centre (NCDRC). Certified in Data Science by Johns Hopkins University and as an Amazon Cloud Architect by AWS, Dr. Ramasamy is a founding member of the IEEE Special Interest Group on Big Data for Cyber Security and Privacy and contributes to the Editorial Advisory Board of the Artificial Intelligence group at Cambridge Scholars Publishing, UK. An active IEEE member, ACM Distinguished Speaker, and IEEE Brand Ambassador, he was a keynote speaker at Asia's first virtual AI summit, AVIS 2020, in Malaysia, and leads the global chapter of Machine Learning for Cyber Security (MLCS). His research focuses on AI and Blockchain technologies, and he serves as Editor-in-Chief for two CRC Press book series: Advances in Quantum Computing, Artificial Intelligence, and Data Sciences for Industrial Transformation and Convergence of IoT and Blockchain Through Machine Learning Approaches. Dr. Ramasamy is also an empanelled member of several esteemed organizations, including IEEE, IAENG, IACSIT, and the British Computer Society.

  • James Harris, Higher Colleges of Technology

    Dr. James Harris is a Professor of Quality & Supply Chain Management at the Higher Colleges of Technology (HCT) in the UAE. With over two decades of leadership experience, he specializes in turnaround management for distressed company acquisitions, complex mergers, and supply chain optimization strategies. Before his tenure at HCT, Dr. Harris served as Director of the MBA Program at Maastricht School of Management in Kuwait, where he played a pivotal role in the merger of the Kuwait Business School and the Maastricht School of Management, modernizing the institution, and launching the first business doctoral program in Kuwait. His academic credentials include a Ph.D. in Business Administration from Grenoble Ecole de Management, France.

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08/05/2025 — Updated on 08/05/2025

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Vol. 1 No. 2 (2025): Human+Machine: Rethinking Intelligence, Work, and Authorship

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Reviews and Perspectives

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Copyright (c) 2025 Juan Dempere, Lakshmana Kumar Ramasamy, James Harris (Author)

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