By Bart Custers,Toon Calders,Bart Schermer,Tal Zarsky
Vast quantities of knowledge are these days gathered, saved and processed, for you to help in making quite a few administrative and governmental judgements. those leading edge steps significantly enhance the rate, effectiveness and caliber of selections. Analyses are more and more played by means of information mining and profiling applied sciences that statistically and instantly make certain styles and traits. although, whilst such practices bring about undesirable or unjustified choices, they might bring about unacceptable kinds of discrimination.
Processing substantial quantities of information could lead on to events during which info controllers recognize some of the features, behaviors and whereabouts of individuals. often times, analysts could comprehend extra approximately members than those contributors find out about themselves. Judging humans by way of their electronic identities sheds a unique mild on our perspectives of privateness and information safeguard.
This booklet discusses discrimination and privateness matters relating to information mining and profiling practices. It offers technological and regulatory suggestions, to difficulties which come up in those leading edge contexts. The e-book explains that universal measures for mitigating privateness and discrimination, corresponding to entry controls and anonymity, fail to correctly unravel privateness and discrimination issues. for that reason, new strategies, concentrating on know-how layout, transparency and responsibility are referred to as for and set forth.