How can effective accountability and governance through complex AI supply chains
be achieved? How can joined-up approaches with AI/digital experts in industry and
academia be encouraged to develop, share knowledge and resources in ways that
leverage synergies and efficiencies? e.g., sandboxes and incorporate learning from
international contexts?

Background

To further develop understanding of the current and future world of work to ensure that our regulatory approach remains suitable and sufficient, including where our regulatory interests extend beyond preventing harm to workers, e.g. covering assessment of potential adverse impacts of chemicals on the general public, consumers and the environment. To equip ourselves with new insights into the reasons why particular failures in health and safety occur. To develop the existing system of ongoing data collection, analysis, interpretation and result dissemination so that it continues to support HSE’s current priorities and prevention strategies and is flexible enough to adapt to change. To identify health and safety hazards and risks arising from change in the GB workforce and their work.

Next steps

Get in touch with hsecsa@hse.gov.uk

Source

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

HS Es Areas of Research Interest ARI 2023

Related UKRI funded projects


  • SmartPSC (Smart Pharma Supply Chain): Application of digital technologies to integrate pharma manufacturing supply chain and enhance efficiency, productivity, flexibility, resilience, and sustainability

    In order to meet National and International medicines demand, both small and large pharmaceutical companies need to use multiple suppliers. It takes significant effort to coordinate these separate companies and create an...

    Funded by: Innovate UK

    Lead research organisation: Gsk Limited

    Why might this be relevant?

    The project discusses the application of AI and digital technologies to enhance efficiency and governance in the pharma supply chain, but does not address the aspect of international contexts or joined-up approaches with AI/digital experts.

  • KnowRisk SC - Fusing data from Industry, Accounting, Insurance and Law to better identify, monitor and manage risk across entire supply chains

    Challenge Governance Risk and Compliance (GRC) guidelines for large organisations stipulate that all risks need to be properly managed, fully- disclosed and provisioned for; Auditors must verify that reserves for unmit...

    Funded by: Innovate UK

    Lead research organisation: Sweetbridge Emea Ltd

    Why might this be relevant?

    The project focuses on risk management across supply chains using data and technology, which aligns with the question's focus on accountability and governance in AI supply chains, but does not specifically address the aspect of joined-up approaches or learning from international contexts.

  • Accelerating Cross-sector Collaborative Ecosystems and Sustainable Supply-chains (ACCESS)

    There is an immediate need for granular supply-chain intelligence and proactive risk mitigation through collaboration and focused intervention, to prevent good UK aerospace, automotive and other HVM SMEs from getting int...

    Funded by: Innovate UK

    Lead research organisation: Valuechain Technology ltd

    Why might this be relevant?

    The project addresses the need for collaboration and data-driven decision making in supply chains, which aligns with the question's focus on joined-up approaches and leveraging synergies, but does not specifically address the aspect of accountability and governance through complex AI supply chains.

  • Collective Risk Learning for Supply Chain Disruption Preparedness

    The need for more efficient, resilient, supply chains has been highlighted by various government inquiries and amplified by recent world events including Brexit and Covid-19. As organisations outsource production to one ...

    Funded by: EPSRC

    Lead research organisation: University of Cambridge

  • Collective Supply Chain Resilience (CORES)

    Public description Supply chain resilience is a widely studied topic of significant impact on our society. As organisations outsource production to one another they create economies of scale and reduce prices but also i...

    Funded by: Innovate UK

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  • Using AI To Reduce Uncertainty And Risk In Supply Chains

    This project is a collaboration between Versed AI, an award-winning artificial intelligence company which has recently spun out of the University of Cambridge, and Cambridge's world-leading Institute for Manufacturing. ...

    Funded by: Innovate UK

    Lead research organisation: Versed AI

  • A New Approach to Manufacturing Supply Chain Risk Management

    In this project we plan to devise a completely new way of managing risk in Supply Chains, supported by independent technology that allows very safe assurance and risk data sharing controlled by each participant in the Su...

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