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


  • MERGE: Model-based Enterprise Regulations for Governance and Excellence

    Engineering and manufacturing companies need to have flexible but consistent regulations to be able to co-create and collaborate effectively. Sharing data and decisions in a safe and effective way across extended supply ...

    Funded by: Innovate UK

    Lead research organisation: NPL MANAGEMENT LIMITED

    Why might this be relevant?

    The project focuses on developing regulations for effective governance in complex supply chains involving industry and academia, aligning with the question's emphasis on accountability and joined-up approaches with experts.

  • The AI Advantage: Developing Trusted, Ethical & Accessible AI Augmented Human Decision Making & Automation for SMBs

    AI is revolutionising many areas. However, with the increasing use of AI, there are growing concerns surrounding the reliability, risks and ethics of AI powered decision-making processes, and the potential harm it can le...

    Funded by: Innovate UK

    Lead research organisation: HUMBLE AI LIMITED

    Why might this be relevant?

    The project partially addresses the question by developing an AI system that provides transparency, accountability, and reliability in decision-making, but does not specifically address governance through complex AI supply chains or encourage joined-up approaches with AI/digital experts.

  • 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: ISCF

    Lead research organisation: GSK LIMITED

    Why might this be relevant?

    The project partially answers the question by discussing the application of digital technologies to integrate pharma manufacturing supply chain and enhance efficiency, productivity, flexibility, resilience, and sustainability. The authors have the necessary expertise to competently answer the question.

  • 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 partially addresses the question by developing a system for risk identification and management across supply chains, but does not specifically address accountability and governance through AI supply chains or encourage joined-up approaches with AI/digital experts.

  • 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

  • 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

    Lead research organisation: ENSPAN INNOVATIONS LTD

  • Democratise access to AI governance through bringing responsible AI platform providers together and enabling access to SMEs

    Enzai has built a responsible AI platform which allows users to understand and manage the risks that come with AI, through policy and governance controls. The company is seeking to form a consortium in order to democrati...

    Funded by: Innovate UK

    Lead research organisation: ENZAI TECHNOLOGIES LIMITED

  • Enhancing AI Assurance through Comprehensive Compliance, Risk Management, and Explainability Solutions

    AI TrustGuard (AITG) is a **comprehensive AI-driven platform designed to address the growing need for AI compliance, risk management, and explainability** across various industries. As AI systems continue to permeate div...

    Funded by: Innovate UK

    Lead research organisation: BASILICON GLOBAL LIMITED

  • 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

    Why might this be relevant?

    The project focuses on using AI in supply chain risk management, which is relevant to the question about effective accountability and governance in AI supply chains.

Similar ARIs from other organisations