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


Similar ARIs from other organisations