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Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines

Ochang, Paschal; Stahl, Bernd; Eke, Damian; Buckley, Matt; Poder, Irma; Hughes, Joshua; Rodrigues, Rowena; Barnard-Wills, David

Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines Thumbnail


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

Joshua Hughes

Rowena Rodrigues

David Barnard-Wills



Abstract

Small to Medium Enterprises (SMEs), including technology start-ups, are driving the development of Generative Artificial Intelligence products and services, whilst some non-technology SMEs are enthusiastically adopting these tools. However, SMEs do not typically have the in-house resources or specialists for responsible AI deployment, particularly in fast-moving areas with uncertain regulation and guidance. Further, SMEs are embedded in commercial ecosystems and therefore can be at the mercy of larger providers. In the case of generative AI, SMEs will often be deploying tools on other parties’ terms and conditions.

Beyond the described challenges experienced within the UK generative AI context, SMEs in Africa operate within diverse languages, cultures, and traditions. How generative AI systems align with or are sensitive to socio-cultural needs, contexts and expectations is critically important to the global discourse on ethical AI.

Explicitly, these guidelines consider:
The lack of control by SMEs over the generative AI tools used, including lack of access to data collection and validation at scale. The developing nature of AI ethics guidance and the lack of its specificity and/or tailoring to the SME research and software development context. The extra effort and time required by SMEs to ensure responsible AI practices. The impact of local culture, norms, and practices on AI use future challenges related to regulatory changes. The pace of developments in generative AI.

Citation

Ochang, P., Stahl, B., Eke, D., Buckley, M., Poder, I., Hughes, J., Rodrigues, R., & Barnard-Wills, D. (2024). Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines. Responsible AI UK

Report Type Project Report
Online Publication Date Mar 1, 2024
Publication Date Mar 1, 2024
Deposit Date Jan 3, 2025
Publicly Available Date Mar 1, 2025
DOI https://doi.org/10.17639/r59s-3w96
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/43682460
Publisher URL https://raise-project.uk/about-raise/
Other Repo URL https://raise-project.uk/wp-content/uploads/2024/03/Raise-Guideliness-V1.pdf
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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