Manchester Metropolitan University's Research Repository

    The GM AI Foundry: a model for upskilling SME’s in Responsible AI

    Lawton, Roxy, Boswell, Sara and Crockett, Keeley ORCID logoORCID: https://orcid.org/0000-0003-1941-6201 (2023) The GM AI Foundry: a model for upskilling SME’s in Responsible AI. In: 2023 IEEE Symposium Series on Computational Intelligence, 05 December 2023 - 08 December 2023, Mexico City, Mexico.

    Accepted Version
    Available under License In Copyright.

    Download (599kB) | Preview


    Building responsible and trustworthy AI solutions is now the norm, yet the challenge of bridging the ethical AI principles to practice gap especially for small to medium businesses is significant with the forthcoming European Union AI ACT (2023) becoming a major disrupter for global businesses. AI Adoption by SMEs is growing but there are many barriers including limited AI skills, complexity of projects, lack of understanding of what is trustworthy and responsible AI and the tools needed to consequence scan the wider impact on stakeholders of innovative products and services prior to market. This paper presents a case study of the Greater Manchester AI Foundry (GMAIF) - a consortium model for University – SME collaboration designed to foster ethical and responsible AI design and development practices into SMEs and new start-ups. The GMAIF model supports the creation of proof-of-concept demonstrator projects, forming a number of tangible products or services, that demonstrate how AI can be used to enhance or provide new products and services. Whilst the model is demonstrated within the UK, its concepts are generalizable and applicable globally. GMAIF has impacted 186 SMEs in the UK, with 67 new AI products being developed by SMEs and an additional 80 innovative products to market.

    Impact and Reach


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics for this dataset are available via IRStats2.


    Repository staff only

    Edit record Edit record