Using AI responsibly in public services

The AI Playbook for the UK Government, published in February 2025, sets out ten principles for the use of AI in government. Most concern familiar disciplines: understanding a tool's limitations, using it lawfully, securing it, testing it and keeping people in control. For teams building services, the task is to turn those principles into design decisions.

Start with the problem

One of the Playbook's principles is to "use the right tool for the job". Many problems are better solved by conventional software, a clearer process or better data. AI earns its place where it removes routine effort from skilled people: triaging incoming work, summarising large volumes of text, or finding the relevant information in a large collection of records.

Keep people in control

The Playbook calls for "meaningful human control at the right stages" and for "humans to validate any high-risk decisions influenced by AI". In practice, this means:

• the system recommends and a person decides, particularly where the outcome affects an individual
• the interface shows the evidence behind each suggestion, so it can be checked rather than simply accepted
• overriding a suggestion is straightforward, and overrides are recorded
• the service still works, more slowly, if the AI component is unavailable

Be open about its use

Use of the Algorithmic Transparency Recording Standard is mandatory for government departments and for arm's length bodies that deliver public or frontline services or routinely interact with the public. The simplest way to meet it is to document what the tool does, the data it uses and how people oversee it while the service is being built, rather than reconstructing that information afterwards.

Test before and after launch

The Playbook advises that teams "fully test the product before deployment, and have robust assurance and regular checks of the live tool in place". That means evaluating against representative cases, including difficult ones, understanding how the system fails as well as how often it succeeds, monitoring its behaviour in live use, and having a plan to pause or withdraw it.

Handle data with care

Teams should take data protection advice early, know where data is processed and whether any provider retains it, and hold procured AI to the same standards as tools built in-house, as the Playbook also recommends.

At brytloop, AI is a means rather than the product. We use it where it removes routine work, keep people in control of decisions, and do not train AI models.