By Bart Custers,Toon Calders,Bart Schermer,Tal Zarsky
Vast quantities of knowledge are these days gathered, saved and processed, in order to help in making various administrative and governmental judgements. those cutting edge steps significantly enhance the rate, effectiveness and caliber of choices. Analyses are more and more played by means of facts mining and profiling applied sciences that statistically and instantly make sure styles and traits. even though, while such practices result in undesirable or unjustified choices, they could bring about unacceptable sorts of discrimination.
Processing massive quantities of knowledge could lead to events during which facts controllers comprehend a number of the features, behaviors and whereabouts of individuals. now and again, analysts may well recognize extra approximately members than those contributors find out about themselves. Judging humans via their electronic identities sheds a unique mild on our perspectives of privateness and information safeguard.
This ebook discusses discrimination and privateness concerns concerning info mining and profiling practices. It presents technological and regulatory recommendations, to difficulties which come up in those cutting edge contexts. The publication explains that universal measures for mitigating privateness and discrimination, akin to entry controls and anonymity, fail to correctly get to the bottom of privateness and discrimination issues. hence, new ideas, targeting expertise layout, transparency and responsibility are known as for and set forth.
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