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[…] generally; and how subjective concepts like ‘creepiness’ can be used to inform eth ical conversations around data. The second research question asked: how can researchers work to promote trust and public confidence in research, as IRBs have in human subject testing, while being scalable to industry and avoiding the bureaucratic and administrative criticisms that […]

[…] These enhanced solutions address the broader categories of privacy risks that are created by big data: 13 Enhanced Transparency: Like any interpretative process, big data analysis is prone to errors, inaccuracies and bias. 1b Consequently, organizations should provide more transparency into their automated processing operations and decision-making processes, including eligibility factors and marketing profiles. […]

[…] These enhanced solutions address the broader categories of privacy risks that are created by big data: 13 Enhanced Transparency: Like any interpretative process, big data analysis is prone to errors, inaccuracies and bias. 1b Consequently, organizations should provide more transparency into their automated processing operations and decision-making processes, including eligibility factors and marketing profiles. […]

[…] These enhanced solutions address the broader categories ob privacy risks that are created by big data: 13 Enhanced Transparency: Like any interpretative process, big data analysis is prone to errors, inaccuracies and bias. 14 Consequently, organizations should provide more transparency into their automated processing operations and their decision-making processes, including eligibility bactors and marketing […]

[…] looking at the data … you can be one hundred percent guaranteed to be identified by simply your gait —how you walk.” 14 Sensor data sets are prone to what computer scientists call “sparsity” —individuals c an be re – identified relatively easily because sensor data measurements are so rich and detailed that each […]

[…] formats.” Id. art. 18, at 53. 63. Id. art. 18(3), at 53. 64. See Adam Cheyer & Joshua Levy, A Collaborative Programming Environment for Web Interoperability , SRI INT’L ARTIFICIAL INTELLIGENCE CTR., http://www.ai.sri.com/pubs/files 346 M ARYLAND LAW REVIEW R IGHT TO DATA PORTABILITY 347 cult to measure the extent to which cons umers actually […]

Bleier & Eisenbeiss_Ads on Private Information

[…] cy measures have developed in response to the privacy concerns of consumers and threats to other interests. 62 These measures position privacy as an instrumental value that promotes other social goals. For example, “privacy laws might promote confidence in Internet commerce, with benefits both for surfers’ privacy and companies’ sales.” 63 Early regulation of […]

[…] individuals! susceptible! to!disease,! crime,! or! other! socially! stigmatizing! characteristics! or! behaviors.!To! be! sure,! predictive!analysis! can! be! used! for! societally! beneficial! goals,! such! as! planning! disaster! recovery! in!an!earthquake! prone! area!based! on! individuals’! evacuation! paths! and! purchase! needs.!Yet!it!can!easily!cross!the!”creepiness”!threshold.!!Consider! a!recent!story! in!the!New! York! Times,!which!uncovered! that! retailing! giant! Target!assigns!a!”pregnancy!prediction!score”!to!customers!based!on!their!purchase!habits.74!According!to! the!Times,!Target! employed!statisticians! to! sift!back!through! historical! buying!records!of!women!who!had!signed!up!for!baby!registries.!The!statisticians!discovered!latent!patterns,!such!as!women’s!preference!for!unscented!lotion!around!the!beginning!of!their!second!trimester!or!a!tendency! to! buy! supplements! like! […]

[…] individuals! susceptible! to!disease,! crime,! or! other! socially! stigmatizing! characteristics! or! behaviors.!To! be! sure,! predictive!analysis! can! be! used! for! societally! beneficial! goals,! such! as! planning! disaster! recovery! in!an!earthquake! prone! area!based! on! individuals’! evacuation! paths! and! purchase! needs.!Yet!it!can!easily!cross!the!”creepiness”!threshold.!!Consider! a!recent!story! in!the!New! York! Times,!which!uncovered! that! retailing! giant! Target!assigns!a!”pregnancy!prediction!score”!to!customers!based!on!their!purchase!habits.74!According!to! the!Times,!Target! employed!statisticians! to! sift!back!through! historical! buying!records!of!women!who!had!signed!up!for!baby!registries.!The!statisticians!discovered!latent!patterns,!such!as!women’s!preference!for!unscented!lotion!around!the!beginning!of!their!second!trimester!or!a!tendency! to! buy! supplements! like! […]