De inleiding van het artikel:
“Welke technologieën gebruiken opsporingsorganisaties zoal, wat zijn hun ervaringen daarmee en welke behoeften bestaan er nog op dit vlak? Deze vragen stonden centraal in het onderzoek dat Bart Custers namens het ministerie van Veiligheid en Justitie deed naar technologie in de opsporing. Evaluaties en succesverhalen lijken vaak te ontbreken.”
From the Conclusions:
“With a few exceptions, DHS and three component agency policies largely address the key elements and attributes needed to ensure that their datamining systems are effective and provide necessary privacy protections. However, in practice, none of the systems we reviewed received the full set of effectiveness and privacy evaluations that are both desired and required for data-mining systems supporting counterterrorism. For example, as required by law and DHS policy, the ICEPIC system obtained an approved privacy impact assessment before it was deployed. However, program officials subsequently deployed an information-sharing component (called the Law Enforcement Information Sharing Service), which provides functionality that is explicitly excluded in the approved privacy impact assessment. Program officials noted several reasons for the disconnect we noted between policies and practices, including system components that were initiated before the latest DHS and component agency policies were in place. Until sound evaluation policies are implemented, DHS and its component agencies risk developing and acquiring systems that do not effectively support their mission and do not adequately ensure the protection of privacy-related information.”
(Source: epic.org)
From the Abstract:
“The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and many others are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing information from Twitter, Google, Verizon, 23andMe, Facebook, Wikipedia, and every space where large groups of people leave digital traces and deposit data. Significant questions emerge. Will large-scale analysis of DNA help cure diseases? Or will it usher in a new wave of medical inequality? Will data analytics help make people’s access to information more efficient and effective? Or will it be used to track protesters in the streets of major cities? Will it transform how we study human communication and culture, or narrow the palette of research options and alter what ‘research’ means? Some or all of the above?”
(Source: schneier.com)
