We're just starting on this journey. That much is clear. How and where it ends at the moment, no-one knows. One thing's certain though, it's fascinating.
I've often joked over recent years that if people want to know where tech is going, watch Minority Report and Wall-e. Yes it's slightly simplistic, but it gets across some of the salient points!
I remember a talk 12 months ago by a futurist who was looking at where the law might be in 20 years time. Some of the ideas suggested were amazing when you extrapolate where tech is now, the pace of change and where that means things could be.
And for a tech lawyer, it asks some interesting questions.
This article struck a chord. It touches on some of the major legal issues that are arising as we move further into AI technology. The themes of intellectual property and data will never be far from this debate, particularly given the very personal and private nature of some of the data that, say, driverless car systems will generate. The question as to who should own it, from both a legal and moral point of view, is one that crosses a number of interested parties - not least society itself.
Perhaps legally though, one of the most fundamental is the age old legal concept of liability.
If a driverless car is involved in a crash, who's at fault? We can't always agree when two humans argue - so what if there are large corporate organisations behind say the car, the maps, the GPS, the satellite, the traffic lights, the road markings, the software designer....the list potentially goes on and on. Recently some car manufacturers have said they will accept liability - but it might not be that clear as somewhere in the commercial arrangements behind their involvement someone else might also be picking up some/all of the tab.
Excuse the pun but there are many miles to go down that road before we get clarity. The technology is still developing. It's often been said that the law needs to keep up with technology - that's not always easy given the pace of change. However, AI has the potential to fundamentally change the way society works and interacts so perhaps it's not so churlish to suggest the need here is greater than ever.
We’re about to enter a hybrid world where there will be human-controlled vehicles and algorithm-controlled vehicles on the road at the same time.