Government and politics Service design

Government doesn’t have needs

A short and powerful polemic on why government doesn’t have needs (and thus why governments are different from users, which do). It’s a powerful argument, but a narrower one than the author seems to recognise. To the extent that government is a provider of services, there is much to be said for a strong focus on meeting user needs, and there is certainly good reason to think that behaving as if that were true has some powerful positive benefits, not least in that using the language of needs gives the best possible chance of not getting prematurely tied up with solutions. There’s a risk, though, that the consumers of a service are seen as the only relevant people, and their needs the only relevant needs. That’s sometimes true (or as nearly true that we don’t need to worry about it), but often there are social and collective interests in how a service operates as well as the individual one – which is one reason they are government services in the first place.

The post is also dismissive of describing the users of government services as ‘customers’. That’s a view which is more rigid than sensible – but that’s a debate for another day.

Charles Reynolds-Talbot – Medium

Data and AI

The Seven Deadly Sins of Predicting the Future of AI

This is a long, but fast moving and very readable, essay on why AI will arrive more slowly and do less than some of its more starry-eyed proponents assert. It’s littered with thought-provoking examples and weaves together a number of themes touched on here before – the inertial power of the installed base, the risk of confusing task completion with intelligence (and still more so general intelligence), the difference between tasks and jobs, and just how long it takes to get from proof of concept to anything close to real world practicality. There are some interesting second order thoughts as well. There is a tendency, for example, to assume that technologies (particularly digital technologies) will keep improving. But though that may well be true over a period, it’s very unlikely to be true indefinitely: in the real world, S-curves are more common than exponential growth.

Rodney Brooks