Category Archives: Algorithms

Can AI Get Too Clever?

No, we’re not talking technological singularity; something a bit more down to earth: just good old fashioned fake news really but with a new twist. A fairly, short, simple, not terribly deep piece this month, but combining with what’s gone before to lead to next month’s proposition broadly along the lines of “Is it possible for a race to ‘stupid’ itself into extinction?”

In an early original episode of Star Trek, Jim Kirk gets into trouble when some recorded video evidence is falsified, appearing to show negligence. As the storyline unfolds, it’s generally accepted that few people would have had the necessary expertise to do this, which eventually points the way to the falsifier. In fact, this concept continued to turn up in many Star Trek series and films as the years passed.

At the time (of the initial episode), in the real world, of course, such an idea would have been almost unimaginable. Back then, it was hard to credibly manipulate still photographs, let alone moving pictures. And it’s hard to say if many people were even speculating so far as, “I wonder how long it will be before we can do that?” Really, it was just bonkers.

But we’ve come a long way.

Continue reading


“San Francisco is first US city to ban facial recognition“

Well, this is interesting: https://www.bbc.co.uk/news/technology-48276660

Something had to happen of course: we’ve been discussing this for years on this blog …

… etc. …

Obviously, we weren’t going to walk straight in to a 1984 scenario: there’s always pre-ripples to any of these social upheavals.

But whether this turns out to be a liberal victory or a camouflaged route to alternate forms of surveillance remains to be seen.  Watch this space …


Repeat: Christmas, Until …

Sorry folks, I haven’t had time to write a CS-based Christmas story this year so here’s one from a few years ago!

Merry Christmas!


No More Privacy Any More? (Just putting this out there)

OK, some of this material isn’t new but I’ve been asked to edit a special (Information) journal edition on (something like) ‘Will AI, Big Data and the IoT Mean the End of Privacy?’  The plan is to circulate a ‘discussion paper’ to encourage submissions.  What follows is an early draft of that (extended from The Prof on a Train Game) so it won’t hurt to get it ‘out there’ as soon as possible.  Comments welcome below, by email, message, whatever …

Abstract

The embodiment of the potential loss of privacy through a combination of AI, big data and IoT technology might be something like an integrated app capable of recognising anyone, anytime, anywhere: a sort of ‘Shazam for People‘, but one capable of returning seriously personal material about the individual.  How credible is such a system?  And what might stop it?

Introduction: A Future Scenario?

It’s 2025 or thereabouts.  You meet someone at an international conference.  Even before they’ve started to introduce themselves, your IoT augmented reality glasses have told you everything you needed to know … and a lot more you didn’t.

Jerry Gonzales. Born (02/11/1970): Glasgow, UK, dual (plus USA) citizenship; 49 years old. Married 12/12/1994 (Ellen Gonzales, nee Schwartz), divorced 08/06/2003; two daughters (Kate: 23, Sarah: 17); one son (David: 20). Previous employment: Microsoft, IBM, University of Pwllheli; current: unemployed. Health: smoker, heavy drinker, recurrent lung problems, diabetic, depression. Homeowner (previous); now public housing. Credit rating: poor (bankruptcy 10/10/2007); Insurance risk: high. Politics: Republican. etc., …,  Sport: supports Boston Red Sox and Manchester United FC. …,  Pornography: prefers straight but with mild abuse …,  etc., etc.

Continue reading