GenAI in academic research: integration and challenges

Zeenath Reza Khan, Stephen Wilkinson, Salim Razı and Prithvi Bhattacharya

Chapter 8 in A Research Agenda for Artificial Intelligence and Academic Integrity, 2026, pp 106-121 from Edward Elgar Publishing

Abstract: This chapter examines the integration of generative artificial intelligence (GenAI) in academic research, emphasizing its potential to revolutionize research methodologies, data analysis, and interdisciplinary creativity across various fields. Alongside these advancements, the chapter highlights the ethical, technical, and practical challenges researchers encounter, including issues of transparency, bias, and the significant resource demands GenAI imposes. Addressing these challenges, the chapter offers practical recommendations for academics to navigate these complexities, emphasizing ethical considerations and collaborative best practices. It envisions a balanced approach to GenAI adoption, guiding the research community toward responsible use that harnesses GenAI's benefits while maintaining the integrity and rigor of scholarly inquiry.

Keywords: GenAI; Academic research; Integration; Ethical challenges; Interdisciplinary collaboration; Research methodology (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035343638
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035343645.00017 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:23795_8

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().