I have written the same thing several times here on this blog…being an Old Query Master myself I know how it works…geez…but again anything to bring this to the forefront is good.  She has an idea that once a breach occurred one would allow a consumer to see the sources, but no, not good enough…license everyone who sells data is the answer and collect some excise taxes from outfits like Walgreens making a billion a year selling your data.

Here’s a link to over 50 blog posts on the Attack of the Killer Algorithms..they live amongst us. 

Attack of the Killer Algorithms! Digest & Links for All Chapters–Read About Math and Crafty Formulas Running on Servers 24/7 Making Life Impacting Decisions About You– Updated

Occupy Algorithms was actually Chapter 17 in the series and the first post I made on the huge profits made. 

Start Licensing and Taxing the Data Sellers of the Internet Making Billions of Profit Dollars Mining “Free Taxpayer Data”–Attack of the Killer Algorithms Chapter 17 - “Occupy Algorithms”– Help Stop Inequality in the US

And this was a later post with additional details…time to license and excise tax otherwise privacy goes nowhere with the data selling epidemic with way too many banks and corporations “flipping algorithms” for profit with nothing tangible attached except exploiting us.  BD 

Time Has Come to License and Tax the Data Sellers of the Web, Companies, Banks, Social Networks..Any One Making a Profit-Latest Microsoft/Google Privacy War Helping the Cause –Consumers Deserve to Know What Is Being Sold and To Who in a Searchable Format

Visit the Algo Duping Page videos for some additional education on how this happens, first you are duped and then the invited and sometimes non invited Killer Algorithms move in.  BD 

Data analytics are being used to implement a subtle form of discrimination, while anonymous data sets can be mined to reveal health data and other private information, a Microsoft researcher warned this morning at MIT Technology Review’s EmTech conference.

Kate Crawford, principal researcher at Microsoft Research, argued that these problems could be addressed with new legal approaches to the use of personal data.

In a new paper, she and a colleague propose a system of “due process” that would give people more legal rights to understand how data analytics are used in determinations made against them, such as denial of health insurance or a job. “It’s the very start of a conversation about how to do this better,” Crawford, who is also a visiting professor at the MIT Center for Civic Media, said in an interview before the event. “People think ‘big data’ avoids the problem of discrimination, because you are dealing with big data sets, but in fact big data is being used for more and more precise forms of discrimination—a form of data redlining.”

Similarly, purchasing histories, tweets, and demographic, location, and other information gathered about individual Web users, when combined with data from other sources, can result in new kinds of profiles that an employer or landlord might use to deny someone a job or an apartment.

In response to such risks, the paper’s authors propose a legal framework they call “big data due process.” Under this concept, a person who has been subject to some determination—whether denial of health insurance, rejection of a job or housing application, or an arrest—would have the right to learn how big data analytics were used.



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