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In understanding the existence and size of the AI skills gap, how many people are working in the AI sector, what is the structural and demographic breakdown, how has this changed over time?

Background

BEIS plans to boost productivity and improve lives by tackling society’s Grand Challenges in life sciences, artificial intelligence, automation and space. By investing in R&D and innovation, we will unleash potential and work towards making the UK a science superpower. To do this, BEIS needs research to better understand:

Next steps

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Source

This question was published as part of the set of ARIs in this document:

Beis areas research interest interim update 2020

Related UKRI funded projects

  • BridgeAI - Sector Capabilities ATI Direct Award

    BridgeAI is a major new initiative at the Turing, funded by Innovate UK, that is aimed at accelerating the adoption of AI (Artificial Intelligence) technologies in sectors with high growth potential across the UK includi...

    Funded by: Innovate UK

    Lead research organisation: THE ALAN TURING INSTITUTE

    Why might this be relevant?

    The BridgeAI project focuses on accelerating the adoption of AI technologies in various sectors, providing training and addressing systemic barriers, which directly relates to understanding the AI skills gap and demographic breakdown.

  • Accelerated Compute Infrastructure Training Hub (ACIT-Hub)

    Accelerated Compute is revolutionising many fields where the UK has strategic interests and comparative strength. The UK government and industry have invested over £1.8 billion in Accelerated Compute infrastructure...

    Funded by: DRI

    Lead research organisation: University of Surrey

    Why might this be relevant?

    Partially relevant as it focuses on training infrastructure engineers in AI, but does not provide specific data on the AI skills gap.

  • New approaches to digital skills development

    Context: Recent innovations in Artificial Intelligence and Machine Learning (hereafter ‘AI’) are projected to transform society and influence how we conduct research. This project will deliver an innovative Training and ...

    Funded by: STFC

    Lead research organisation: University of Southampton

    Why might this be relevant?

    Partially relevant as it addresses the need for AI skills development but does not provide specific data on the AI skills gap.

  • Better Images of AI: Research-Informed Diversification of Stock Imagery of Artificial Intelligence

    The stock images currently used to illustrate news stories, reports, and other publications about artificial intelligence (AI) are often misleading and threaten to distort the public understanding of new technologies. Th...

    Funded by: AHRC

    Lead research organisation: University of Cambridge

    Why might this be relevant?

    The project is not relevant as it does not provide information on the size, structure, or demographic breakdown of the AI sector, but the authors are competent in the field of AI.

  • AI UK: Creating an International Ecosystem for Responsible AI Research and Innovation

    Artificial Intelligence (AI) can have dramatic effects on industrial sectors and societies (e.g., Generative AI, facial recognition, autonomous vehicles). AI UK will pioneer a reflective, inclusive approach to responsibl...

    Funded by: EPSRC

    Lead research organisation: University of Southampton

    Why might this be relevant?

    The project is led by experienced leaders in AI, but it does not provide specific data on the number of people working in the AI sector, the structural and demographic breakdown, or how this has changed over time.

  • Turing AI Fellowship: Adaptive, Robust, and Resilient AI Systems for the FuturE

    The Office for Artificial Intelligence (AI) estimates that AI could add £232 billion to the UK economy by 2030, increasing productivity in some industries by 30%. However, to be truly transformational, the integrat...

    Funded by: EPSRC

    Lead research organisation: King's College London

    Why might this be relevant?

    The project specifically addresses the AI sector, its size, demographics, and changes over time, with expertise in AI systems and data-driven AI.

  • National Platform for RTPs on AI for Science and Engineering (NPRAISE)

    AI is one of the key technologies of this century, with benefits permeating every aspect of our life. If the full potential of AI can be leveraged to accelerate science and engineering, the resulting impact will be disru...

    Funded by: EPSRC

    Lead research organisation: Science and Technology Facilities Council

  • Chief AI - Global provision of AI As A Service

    "Chief.AI provides full-service AI brokerage and marketplace that aims to become the pre-eminent access point for artificial intelligence as a service (AIAAS) globally. It achieves this by brokering global AI resou...

    Funded by: Innovate UK

    Lead research organisation: CHIEF AI LIMITED

  • AI/ML Training (DiRAC)

    AI/ML Training (DiRAC) This proposal presents a structured training programme designed to equip UK researchers with essential skills in the artificial intelligence (AI) and machine learning (ML), technologies that are ra...

    Funded by: EPSRC

    Lead research organisation: University College London

  • Turing Innovation Catalyst Manchester (TIC).

    The Turing Innovation Catalyst (Manchester) (TIC or TIC-M) aims to accelerate the commercial exploitation of productivity-enhancing Artificial Intelligence (AI) and digital trust technologies in Greater Manchester (GM). ...

    Funded by: Innovate UK

    Lead research organisation: THE UNIVERSITY OF MANCHESTER