This document is a framework, providing practical considerations for anyone planning or developing a generative AI solution. This was published by the UK government after an initial guidance on generative AI in June 2023, encouraging civil servants to gain familiarity with the technology, while remaining aware of risks. 

Generative AI has the potential to unlock significant productivity benefits. This framework aims to help readers understand generative AI, to guide anyone building generative AI solutions, and, most importantly, to lay out what must be taken into account to use generative AI safely and responsibly. It is based on a set of ten principles which should be borne in mind in all generative AI projects.

These ten principles are:

1. You know what generative AI is and what its limitations are
2. You use generative AI lawfully, ethically and responsibly
3. You know how to keep generative AI tools secure
4. You have meaningful human control at the right stage
5. You understand how to manage the full generative AI lifecycle
6. You use the right tool for the job
7. You are open and collaborative
8. You work with commercial colleagues from the start
9. You have the skills and expertise that you need to build and use generative AI
10. You use these principles alongside your organisation’s policies and have the right assurance in place

Moreover, the document provides a series of use cases to avoid, such as:

• Fully automated decision-making: any use cases involving significant decisions, such as those involving someone’s health or safety, should not be made by generative AI alone.
• High-risk / high-impact applications: generative AI should not be used on its own in high-risk areas which could cause harm to someone’s health, safety, fundamental rights, or to the environment.
• Low-latency applications: generative AI operates relatively slowly compared to other computer systems and should not be used in use cases where an extremely rapid, low-latency response is required.
• High-accuracy results: generative AI is optimised for plausibility rather than accuracy and should not be relied on as a sole source of truth, without additional measures to ensure accuracy.
• High-explainability contexts: like other solutions based on neural networks, the inner workings of a generative AI solution may be difficult or impossible to explain, meaning that it should not be used where it is essential to explain every step in a decision.

Finally, another interesting point is that to help civial servants acquire the more specific skills needed to build and run generative AI solutions, the Government has defined a set of open learning resources available to all civil servants.

You can read the document attached to deep dive into the content!