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Beyond IRBs Conference Proceedings_12-20-16
[…] 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 […]
Comments to NIST on Privacy Engineering
[…] 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. […]
FPF_DataBenefitAnalysis_FINAL
[…] 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. […]
FPF_NTIA_BigDataPrivacyRFC
[…] 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 […]
Big Data and Privacy Paper Collection
[…] data [from a FitBit] … 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 […]
Swire & Lagos_Why the Right to Data Portability Likely Reduces Consumer Welfare
[…] companies will be discouraged if they must write an EIM from the start and comply with the RDP. 107 The concern is that the RDP, rather than promoting consumer welfare, would de prive 102. Put another way, competition law would not find an enforceable harm in the a b- sence of market power. See […]
Bleier & Eisenbeiss_Ads on Private Information
1 Ads on Private Information: Investigating the Targeting Trade -Off in Personalized Online Advertising Abstract In retargeting, online banners are tailored to individual consumers according to their recent shopping behavior. Although this increasingly employed method might make banners more relevant to consumers, they may also perceive it as overly manipulative or privacy intruding. In this […]
Bamberger & Mulligan_Privacy in Europe
[…] would be found in violat ion of some arcane rule if a regulator chose to examine them (“group 2”). Finally, companies loosely grouped as “high -tech” were prone to be pragmatic in their approach to privacy, viewing it as a legitimate social concern that could hamper their business if not appropriately handled. This last […]
Big Data for All: Privacy and User Control in the Age of Analytics
[…] 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! […]
Big Data for All: Privacy and User Control in the Age of Analytics by Jules Polonetsky and Omer Tene
[…] 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! […]