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Mind Matters Reporting on Natural and Artificial Intelligence

TagAnonymity

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Is Contact Tracing a Simple Answer to COVID Lockdowns?

An engineering professor at the University of Austin asks us to look at the costs and benefits

The conventional science fiction fear of a superintelligent AI taking over the planet and ridding it of pesky humans distracts our attention from a much more realistic threat: Artificial intelligence (AI) makes both government and corporate surveillance much easier, cheaper, and more useful—whether it is in average citizens’ interests or not. If we are lucky, this will be the decade when we address the implications of that fact.

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Google’s Secret Health Data Grab: The Whistleblower Talks

This is the fourth whistleblower in the last eighteen months

“The decision came to me slowly, creeping on me through my day-to-day work,” we are told, until it came down to “how could I say nothing?”

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Your Phone Knows Everything Now

And in a world where no data is anonymous, yours may be sold to the highest bidder
Your location can be a useful guide to your buying habits, whether or not you want to buy anything or think anyone has any business snooping on you to find out. Read More ›
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The $60 Billion-Dollar Medical Data Market is Coming Under Scrutiny

As a patient, you do not own the data and are not as anonymous as you think
Data management companies can come to know a great deal about you; they just don’t know your name—unless, of course, there is a breach of some kind. Time Magazine reported in 2017 that “Researchers have already re-identified people from anonymized profiles from hospital exit records, lists of Netflix customers, AOL online searchers, even GPS data of New York City taxi rides.” One would expect detailed medical data to be even more revelatory. Read More ›
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Our anonymity may be an illusion

Because we talk about ourselves so much online, few leaked pieces may even be required to identify us. 
Dr. Dinerstein: In what is now a classic study, researchers used de-identified credit card data for 1.1 million people, in 10,000 stores over a three-month period. Using just four pieces of “outside” data they could identify 90% of the shoppers. Read More ›