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FPF_DataBenefitAnalysis_FINAL
[…] better programming to viewers but also create new shows and programs that are tailored to their viewers’ tastes. 5 Tracking lost baggage and improving customer service. 22 Airlines are increasingly using data to offer travel – ers the ability to track their bags from curb to baggage claim, and big data analytics is directly […]
FPF_NTIA_BigDataPrivacyRFC
[…] programming to viewers but also create new shows and programs that are better tailored to their viewers’ tastes. 5 Tracking lost baggage and improving customer service. 22 Airlines are increasingly using data to offer flyers the ability to track their bags brom curb to baggage claim, and big data analytics is directly improving customer […]
Wall Street Journal: MLA-Driven Approach to Airport Wait Times
On Wednesday, The Wall Street Journal published an article about long lines at U.S. customs in airports around the country, and what airlines are doing to shorten them. They include a spreadsheet where you can see the kind information that’s been collected thanks to Mobile Location Analytics (“MLA”) technology. This is just one example […]
Big Data and Privacy Paper Collection
[…] information warehouses where people can mete out their information to businesses in exchange for discounts. 21 These are projects worth pursuing, but the degree of trust and alignment between corporate and individual interests they will require are significant. Still, it is unlikely we can ever develop a one -to-one data exchange. Federico Zannier sold […]
The Future of Privacy Forum and Sen. Schumer Announce Important Agreement to Ensure Consumers Have Opportunity to “Opt-Out” Before Stores Can Track Their Movement Via Their Mobile Devices
[…] SOLOMO. “We’ve collaborated to develop the Code of Conduct to ensure transparency and empowerment for retail customers. Indoor location technology will offer customers new in-store experiences, special deals, and localized services as retailers introduce it in their stores. Everyone wins.” “Turnstyle Solutions is pleased to partner with the Future Privacy Forum in the development […]
Wu – Big Data Threats
[…] 7 See Neil M. Richards, Intellectual Privacy , 87 TEX . L. REV . 387 (2008). 8 See Jennifer Valentino -DeVries et al., Websites Var y Prices, Deals Based on Users’ Information , WALL ST. J., at A1, Dec. 24, 2012. 9 See Ryan Calo, Digital Market Manipulation (draft). product being sold, the advertiser […]
Vagle – Has Katz Become Quaint.docx
[…] political, professional, religious, and sexual associations. The Government can store such records and efficiently mine them for information years into the future. And because GPS monitoring is cheap in comparison to convent ional surveillance techniques and, by design, proceeds surreptitiously, it evades the ordinary checks that constrain abus ive law enforcement practices: ‘ limited […]
SOCIAL – Lerman – Big Data and Its Exclusions
[…] for email, social m e- dia, and searc hing; shopping with a credit, debit, or “customer lo yalty” card; banking or applying for credit; tra veling by plane; receiving medical treatment at a technologically advanced hospital; and receiving electricity through a “smart meter .” 3 II. Big data, for all its technological complexity, springs […]
LEGAL – Wu – Big Data Threats
[…] 7 See Neil M. Richards, Intellectual Privacy , 87 TEX . L. REV . 387 (2008). 8 See Jennifer Valentino -DeVries et al., Websites Var y Prices, Deals Based on Users’ Information , WALL ST. J., at A1, Dec. 24, 2012. 9 See Ryan Calo, Digital Market Manipulation (draft). product being sold, the advertiser […]
FRAMEWORK – Dwork & Mulligan – It's Not Privacy It's Not Fair
[…] narrowly focused on private lives, consumption, and infotainment . Equal ly importantly, they reflect the hopes and aspirations we ascribe to algorithms , despite our cynicism and reservations, ” we want them to be neutral, we want them to be reliable, we want them to be the effective ways in which we come to […]