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UKAIS2025: Shaping the Future of Academia: The Impact of AI on Teaching, Research, and Scholarship

LOCATION: Newcastle University Business School

DATES:  23/24 APRIL 2025 – UKAIS2025 Conference / 22 APRIL 2025 – Doctoral Consortium

CONFERENCE CHAIRS: Prof Savvas Papagiannidis (Newcastle University Business School), Dr Honglei Li (Northumbria University), Prof Laurence Brooks (University of Sheffield)

Call for Papers

Artificial Intelligence (AI) can be viewed as technologies augmented by human intelligence, performing tasks akin to the human mind. This can range from algorithm-based data interpretation for specific tasks to broader concepts that mimic human intelligence. AI’s growth is driven by improved machine learning using online data, enhanced computing power, and advances in deep learning. Its transformative potential spans across sectors, due to AI’s capability in complex environments and repetitive tasks. With the introduction of AI technologies that are widely available, there is potential for significant change in how work is carried out (Budhwar et al, 2023). This raises important research questions about AI’s role in either augmenting or even replacing human efforts.

Those working in the higher education sector are not an exception but are also facing the impact of AI. Academics need to adapt to internal and external demands. For instance, internally complementing teaching with new AI-generated content and dealing with assessment challenges calls for reconsidering how to innovate in education and learning practices. Similarly, academics are also facing challenges of incorporating AI into their research and student-supervisory roles in a manner that augments their productivity and capabilities, without compromising the integrity and depth of scholarly research (Dwivedi et al, 2023).

Externally, there is a growing need to translate academic research and insights into actionable strategies that can be employed in commercial and societal contexts. Such imperatives not only require academics and university leaders to stay abreast of the latest developments in AI, but also to develop a deeper understanding of the ethical, economic, social, and organisational implications (Hartel et al. 2014). The ability to manage such internal and external demands effectively is crucial, if AI is to become a tool for enhancement, rather than a source of contention.

To this end, submissions are encouraged to critically examine the role of academics in this transition, challenging the assumption that the academic community is fully prepared to embrace AI at the necessary pace. We invite submissions for UKAIS2025 that explore a range of topics related to the integration, impact, and ethical considerations of AI in higher education.

Suggested areas for research include, but are not limited to (we also encourage submission of papers related to artificial intelligence even if they are not related to Higher Education):

  • The Role of AI in augmenting academic teaching and learning: Investigate how AI-generated content and tools can complement traditional teaching methods (especially when it comes to IS courses), enhance student engagement, and address assessment challenges.
  • AI’s impact on academic research and supervision: Examine the ways in which AI can augment researchers’ productivity and capabilities, without compromising the integrity of scholarly research.
  • Translating academic insights into actionable strategies: Explore strategies for leveraging AI to translate research into practical applications in commercial and societal contexts.
  • Ethical, Economic, Social, and Organisational Implications of AI: Delve into the ethical considerations surrounding the use of AI in higher education, including issues related to privacy, data security, and bias.

We invite full papers (completed research) and developmental papers (research in progress).

Full papers of 5000-7000 words should document established results and will be presented according to the highest academic standards. Allocation of a 20-minute presentation time, followed by a Q&A. Selected papers will be uploaded to the AIS eLibrary.

Developmental papers of 1500-2000 words should document research in progress and will be presented according to the highest academic standards. Allocation of a 20-minute presentation time, followed by a Q&A. UKAIS actively encourages submissions from early career researchers. The purpose of the developmental is to enable researchers to discuss their work whilst it is in an early stage, so comments and feedback obtained at the event can be incorporated in the final stages of research and writing up.

References

Budhwar P, Chowdhury S, Wood G, Aguinis H, Bamber GJ, Beltran JR, Boselie P, Cooke F L, Decker S, DeNisi A, Dey PK, Guest D, Knoblich AJ, Malik A, Paauwe J, Papagiannidis S, Patel C, Pereira V, Ren S, Rogelberg S, Saunders MNK, Tung RL, Varma A (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal. Vol. 33(3), 606-659.

Dwivedi YK, Kshetri Nir, Hughes L, Slade EL, Jeyaraj A, Kar AK, Baabdullah AM, Koohang A, Raghavan V, Ahuja M, Albanna H, Albashrawi M, AlBusaidi AS, Balakrishnan J, Barlette Y, Basu S, Bose I, Brooks L, Buhalis D, Carter L, Chowdhury S, Crick T, Cunningham SW, Davies GH, Davison RM, Dé R, Dennehy D, Duan Y, Dubey R, Dwivedi R, Edwards JS, Flavián C, Gauld R, Grover V, Hu M, Janssen M, Jones P, Junglas I, Khorana S, Kraus S, Larsen KR, Latreille P, Laumer S, Malik FT, Mardani A, Mariani M, Mithas S, Mogaji E, Nord JH, O’Connor S, Okumus F, Pagani M, Pandey N, Papagiannidis S, Pappas IO, Pathak N, Pries-Heje J, Raman R, Rana NP, Rehm SV, Ribeiro-Navarrete S, Richter A, Rowe F, Sarker S, Stahl BC, Tiwari MK, van der Aalst W, Venkatesh V, Viglia G, Wade M, Walton P, Wirtz J, Wright R. “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management 2023, 71, 102642.

Hartel, CEJ, Butar, ID, Sendjaya, S, Pekerti, A, Hirst, G, & Ashkanasy, NM (2014). Developing ethical leaders: A servant leadership approach. In LE Sekerka (Ed.), Ethics Training in Action: An Examination of Issues, Techniques, and Development, 271-291. Information Age Publishing.

Submission Guidelines:

  • Authors may submit their paper to one and only one of the Conference Tracks
  • An author can be author or co-author of up to 3 submissions. If any author submits more than 3, the Programme Committee will consider only the first 3 submissions and the rest will be desk rejected without review.
  • Track chairs are not allowed to submit to their track. However, they can submit to other tracks or the General Track
  • All papers will need to be submitted via the conference submission system (to be released soon)
  • Submissions will need to follow the appropriate paper template
  • The submission system will open on [To be announced]
  • Any submissions that do not conform to the above will be desk rejected.
  • Submissions should be made in English.
  • We accept only original submissions: the same or very similar submissions should not have been published or be under consideration by other outlets at the time of submission.
  • Submissions that violate any of the above-listed guidelines will be removed from the review process.
  • For initial submissions, author names MUST NOT appear in the paper and care should be taken so as not to reveal the author identities in the body of the paper. After the final paper acceptance, authors will be asked to add their names and any acknowledgement declarations for the camera-ready version.