Industry temperature check: barriers and enablers to AI assurance
The CDEI has published a report summarising the key findings from its stakeholder engagement in support of the delivery of the Roadmap to an effective AI assurance ecosystem.
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To support delivery of the Roadmap to an effective AI assurance ecosystem published in December 2021, the Centre for Data Ethics and Innovation (CDEI) launched its AI Assurance Programme. In its first year, the programme has focused on gaining a better understanding of current levels of industry engagement with AI assurance, to best focus the CDEI’s work to ensure that we have the highest potential for impact.
To achieve this, the CDEI has facilitated a series of events with stakeholders; this report summarises key findings from these activities. It identifies industry barriers and enablers to engage with AI assurance, and goes on to identify potential practical interventions to support increased uptake and adoption of AI assurance techniques and standards. The report also examines in more detail three sectors with a breadth of risks that are introduced by increased AI adoption. These sectors are HR and recruitment, finance, and connected and automated vehicles.
Next steps
The findings illustrated in this report will inform the continued development of the CDEI’s AI Assurance Programme, and inform our practical interventions to support the development of a thriving AI assurance ecosystem. To this end, the CDEI will be collaborating with techUK to develop a portfolio of case studies of AI assurance good practice to address the desire for signposted guidance that has been identified in the Industry Temperature Check.
These case studies will demonstrate how organisations are using different AI assurance techniques, like impact assessments and performance testing, in practice. This is a valuable opportunity for companies at the cutting edge of AI assurance to showcase their practical approaches to measuring, evaluating and communicating the trustworthiness of AI systems.
Submissions are still open, and we invite and encourage industry to submit their case studies of AI assurance techniques for inclusion.
If you have any questions or would like to find out more about this report, please contact us at [email protected].
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Published 7 December 2022Last updated 8 December 2022 + show all updates
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First published.