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Responsible Generative AI for SMEs in UK and Africa Case Study Cocreation Workshop Report

Ochang, Paschal; Eke, Damian; Stahl, Bernd; Cameron, Harriet; Buckley, Matt; Poder, Irma; Rodrigues, Rowena

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Authors

Mr PASCHAL OCHANG Paschal.Ochang@nottingham.ac.uk
Responsible Innovation in AutonomousSystems Research Fellow

Dr DAMIAN EKE Damian.Eke@nottingham.ac.uk
TRANSITIONAL ASSISTANT PROFESSOR

Matt Buckley

Irma Poder

Rowena Rodrigues



Contributors

Emem Rita Usanga
Other

Shina Arogundade
Other

Chialuka Ijeoma Kelechi
Other

Madalina-Daniela Mihailescu
Other

Cassandra Vranjkovic
Other

Patricia Okelo
Other

Thomas Brennan
Other

Benedict Carpenter van Barthold
Other

Heather Payne
Other

Victoria Ogilvie
Other

Isaiah-Chauncie Annan
Other

Abstract

The University of Nottingham hosted a co-creational workshop from 29th to 31st January at the Jubilee Hotel & Conference facilities, bringing together participants from the RAISE project’s case studies across the UK and Africa. The workshop focused on small and medium-sized enterprises (SMEs) utilising generative AI for their products and services that form part of the RAISE case studies. The aim was to explore the challenges of integrating responsible research and innovation (RRI) practices into AI applications and to get feedback on current Responsible Artificial Intelligence (RAI) guidelines including the first draft of the RAISE guidelines.
The workshop also evaluated tools for assessing AI’s responsible use, including the UK Government’s AI Management Essentials, ALTAI, and Microsoft’s Responsible AI Impact Assessment Tool. While these tools were considered useful, participants highlighted issues with their formatting and suggested improvements, such as the ability to save progress and revisit answers. Feedback on the RAISE guidelines emphasised the need for adaptable, SME-focused frameworks and a maturity scoring system to prioritise RRI elements at various stages of development. The workshop highlighted the challenges SMEs face in adopting responsible AI practices and will inform updates to the RAISE guidelines to better support SMEs in integrating responsible AI strategies

Citation

Ochang, P., Eke, D., Stahl, B., Cameron, H., Buckley, M., Poder, I., & Rodrigues, R. (2025). Responsible Generative AI for SMEs in UK and Africa Case Study Cocreation Workshop Report. ESPRC and RAI UK

Report Type Project Report
Acceptance Date Mar 3, 2025
Online Publication Date Mar 1, 2025
Publication Date Mar 1, 2025
Deposit Date Mar 6, 2025
Publicly Available Date Mar 1, 2025
Pages 1-14
Series Title Responsible Generative AI for SMEs in UK and Africa (RAISE) Co-creation Workshop Series
Series Number 2
DOI https://doi.org/10.17639/NJQP-A207
Keywords Small and Medium Enterprises (SMEs), AI Guidelines for SMEs, Generative AI, AI Policy Recommendations, Responsible AI in Africa, Generative AI Challenges, Mitigation Strategies
Public URL https://nottingham-repository.worktribe.com/output/46192218
This output contributes to the following UN Sustainable Development Goals:

SDG 8 - Decent Work and Economic Growth

Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

SDG 9 - Industry, Innovation and Infrastructure

Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation

SDG 10 - Reduced Inequalities

Reduce inequality within and among countries

SDG 16 - Peace, Justice and strong institutions

Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

SDG 17 - Partnerships for the Goals

Strengthen the means of implementation and revitalize the global partnership for sustainable development

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