Ben Carpenter shares some recent updates to the service standard (LinkedIn warning):

We’ve made it extra clear in ‘Solve a whole problem for users’ and ‘Choose the right tools and technology’ that existing principles to design around users and not technology, and to reuse existing solutions, apply to AI technologies as they do to traditional digital technologies. This is the case throughout the Service Standard, but we have called it out specifically in those points.

There are also new requirements in ‘Have a multidisciplinary team’ for service teams using AI in a service to have someone on or available to the team who fully understands how it works and the impact of using it.

And ‘Choose the right tools and technology’ now requires teams to assess the impact of technologies on user experience, inclusion, and the reliability of information and decisions.

We have also specified that quality assurance testing must not be left to automated tools and that service teams must monitor outcomes for users and ethical issues such as bias.