The Government has unveiled an AI-health self-assessment tool as part of their planned "AI Assurance Platform."
The UK Government’s Department for Science, Innovation, and Technology (DSIT) has announced the launch of AI Management Essentials (AIME), a self-assessment tool aimed at supporting UK businesses in establishing management and risk-assessment processes for the responsible development and use of artificial intelligence (AI).
AIME is not designed to assess the AI products or services themselves, but to help organisations evaluate their internal processes (we’ve written about implementing generative ai safely and successfully). The tool is sector-agnostic and can be used by organisations of various sizes. However, it primarily targets small to medium-sized enterprises and start-ups. Larger organisations can also use AIME to assess AI management systems within individual divisions or subsidiaries.
A public consultation was issued on 6 November 2024, inviting feedback on the design, content, and utility of the AIME tool, to ensure it is fit for purpose. Responses are required by 23:55 on 29 January 2025 and will inform the next stage of development.
The final version of AIME, which will be developed after the consultation, is expected to include three components. These are:
According to the UK Government, “The tool will not be mandatory to use but will help organisations embed baseline good practice within their AI management systems.”
Although AIME does not provide formal certification, the Government declares that “working through the tool will help organisations to assess and improve their AI management processes, and become better positioned for a foundational level of compliance with the standards and frameworks that inform it.”
In the future, there may also be opportunities to integrate AIME into public sector procurement frameworks for AI products and services.
AIME will be just one of many resources available on the “AI Assurance Platform” that the government intends to develop. Their paper published earlier this month, says, “Over time, we will create a set of accessible tools to enable baseline good practice for the responsible development and deployment of AI.”
Other tools being developed include a Terminology Tool for Responsible AI, which aims to drive a common understanding of AI assurance vocabulary, improving communication and supporting cross-border trade.