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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)

DEADLINE FOR SUBMISSIONS: 31ST OCTOBER 2024

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. 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.

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. 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). Please follow the conference formatting template provided on the UKAIS website .

UKAIS2025_TemplateDownload

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.

Tracks

Track 1: General Track
Track 2: Digital Work
Track 3: Digital Innovation and Transformation
Track 4: Digital Operations & Supply Chain Management Innovations
Track 5: Sustainable Information Systems
Track 6: Social Media and Digital Communication: How Technology Shapes Communication
Track 7: Education
Track 8: AI in Pedagogical Innovation and the Research-Teaching Nexus
Track 9: Transformative Power of Data: Leveraging Business Analytics for Data-Driven Decision-Making
Track 10: Opportunities and Threats of Conversational Artificial Intelligence Empowered by ChatBot
Track 11: Security and Regulation: Cybersecurity, Privacy, and Trust- Protecting information and ensuring responsible technology use
Track 12: E-Commerce
Track 13: Digital Healthcare