document: Information awareness : a prospective technical assessment Recent proposals to apply data mining systems to problems in law enforcement , national security , and fraud detection have attracted both media attention and technical critiques of their expected accuracy and impact on privacy . Unfortunately , the majority of technical critiques have been based on simplistic assumptions about data , classifiers , inference procedures , and the overall architecture of such systems . We consider these critiques in detail , and we construct a simulation model that more closely matches realistic systems . We show how both the accuracy and privacy impact of a hypothetical system could be substantially improved , and we discuss the necessary and sufficient conditions for this improvement to be achieved . This analysis is neither a defense nor a critique of any particular system concept . Rather , our model suggests alternative technical designs that could mitigate some concerns , but also raises more specific conditions that must be met for such systems to be both accurate and socially desirable .
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