Abstract
The embodiment of the potential loss of privacy through a combination of artificial intelligence algorithms, big data analytics and Internet of Things technology might be something as simple, yet potentially terrifying, as an integrated app capable of recognising anyone, anytime, anywhere: effectively a global ‘Shazam for People’; but one additionally capable of returning extremely personal material about the individual. How credible is such a system? How many years away? And what might stop it?
Highlights
A Future Scenario?Imagine it is 2025 or thereabouts
A simple, one-dimensional approach will not work; and yet Shazam does. It combines several of these imperfect invariant features, as best it can, into an ‘acoustic fingerprint’, which—if constructed effectively—may uniquely identify the track. (A fundamental principle of combining datasets in big data analytics is that increased data dimensionality decreases anonymity, whatever the subject.) This acoustic fingerprint can be sent from the device and queried against an Internet-based lookup
The mathematical viability of any Shazam for People’ (SfP) system will depend on the range and quality of IVs that can be collected and the efficacy of their combination into a Personal Identification Mark (PIM), which in turn depends on the underlying technology available
Summary
You meet someone at an international conference Even before they have started to introduce themselves, your Internet of Things (IoT) connected augmented reality glasses (or something like that: it does not matter) have told you everything you needed to know. Married 12/12/1994 (Ellen Gonzales, nee Schwartz), divorced 08/06/2003; two daughters (Kate: 23, Sarah: 17); one son (David: 20). That is the simple basis of this paper, along with the overlapping questions that naturally follow:. To begin this discussion, we consider a comparable, essentially parallel, application of technology: one that already exists, not merely legally but almost universally considered a positive use of mobile devices and the Internet
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