Responsible Generative AI for SMEs in UK and Africa (RAISE): An Education AI Case Study

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Authors: Paschal A. Ochang, Bernd Stahl, Alfie Cameron, Damian Eke
Cited by: 0

Abstract

This report presents a series of case studies developed under the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project, examining how small and medium-sized enterprises (SMEs) understand, adopt, and operationalise generative AI in practice. Drawing on in-depth qualitative engagement with participating organisations across diverse sectors, the case studies explore anticipated benefits, technical and organisational challenges, and the ethical, legal, and social considerations shaping AI integration. The RAISE case studies demonstrate how responsible AI principles are interpreted pragmatically by SMEs and illustrate the value of context-sensitive, actionable guidance in supporting responsible adoption. Collectively, the cases provide empirical insight into the realities of generative AI use in resource-constrained environments and inform the development of practical frameworks for responsible AI implementation in SMEs.

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence Applications Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Repository@Nottingham (University of Nottingham)
Publication date
30 January 2026
Language
EN