How can whole systems think: collective intelligence assemblies and the case for ‘intelligence design’
Over the last few years I've been interested in how to link up open data, evidence-based policy, collective intelligence and artificial intelligence.
The basic idea is that if we could connect up systems of observation, analysis, prediction, memory, creativity and judgement, the systems we depend on - for everything from health to transport - could work much better.
I recently gave lectures at Cambridge University and New York University setting out ideas about how what I call 'collective assemblies' could work.
The topic is explored more in my forthcoming book - Big Mind - from Princeton University Press. In the meantime, this paper, co-authored with Viktorija Krivova, provides a series of case studies of fascinating recent attempts in health and the environment to make whole systems smarter.