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[…] could! be!probabilistic!and! incremental!and!the! definition! of! harm!subject! to! constant!wrangling! between! minimalists! who! reduce! privacy! to! pecuniary! terms! and!maximalists!who!view!any!collection!of!data!as!a!dignitary!infringement.10!!In! response!to! these! developments,!the! Department! of! Homeland! Security!commissioned!a!series!of!workshops!in!2011I2012,!leading!to!the!publication!of!the!Menlo’ Report’ on’Ethical’Principles’Guiding’Information’ and’Communication’!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!5!See,’e.g.,’Arvind!Narayanan!&!Bendert!Zevenbergen,!No’Encore’for’Encore?’Ethical’Questions’for’WebGBased’Censorship’Measurement.’!6!Michael!Zimmer,!Research’Ethics’in’the’Big’Data’Era:’Addressing’Conceptual’Gaps’for’Researchers’and’IRBs.!!7!Narayanan!&!Zevenbergen,!supra’note!5.!8!See,’e.g.,!Arvind!Narayanan!&!Ed!Felten,!No’Silver’Bullet:’DeGIdentification’Still’Doesn’t’Work,!July!9,!2014,!http://randomwalker.info/publications/noIsilverIbulletIdeIidentification.pdf;!Paul!Ohm,!Broken’Promises’of’Privacy:’Responding’to’the’Surprising’Failure’of’Anonymization!,!57!UCLA!L.!REV.!1701!(2010).!9!See,!e.g.,!Daniel!BarthIJones,!The’Antidote’for'”Anecdata”:’A’Little’Science’Can’Separate’Data’Privacy’Facts’from’Folklore,!Nov.!21,!2014,!https://blogs.law.harvard.edu/infolaw/2014/11/21/theIantidoteIforIanecdataIaIlittleIscienceIcanIseparateIdataIprivacyIfactsIfromIfolklore/;!Kathleen!Benitez!&!Bradley!K.!Malin,!Evaluating’ReGIdentification’Risks’With’Respect’to’the’HIPAA’Privacy’Rule,!17!J.!AMER.!MED!INFORMATICS!ASSOC.!169!(2010);!Khaled!El!Emam!et!al,!A’Systematic’Review’of’ReGIdentification’Attacks’on’Health’Data,!6!PLoS’One’1,!December!2011;!also’see’Jules!Polonetsky,!Omer!Tene!and!Kelsey!Finch,! Shades‘of’Gray:’Seeing’the’Full’Spectrum’of’Practical’Data’DeGIdentification'(on!file!with!authors).!!10!Case!CI362/14,!Maximillian!Schrems!v.!Data!Protection!Commissioner,!6!October!2015,!http://curia.europa.eu/juris/document/document.jsf?docid=169195&doclang=EN;!also’see’Ryan!Calo,!The’Boundaries’of’Privacy’Harm,!86!IND.!L.J.!1131!(2011).! !3!Technology’Research.11!That! report!remains!anchored! in!the! Belmont! Principles,!which! it! interprets! to!adapt!them!to! the!domain! of! computer! science! and! network!engineering,!in! addition! to!introducing!a! fourth! principle,!respect’for’law’and’public’interest,!to!reflect!the!”expansive!and!evolving!yet!often!varied!and!discordant,!legal!controls! relevant! for! communication! privacy! and! information! assurance.”12!In!addition,! on! […]

[…] mission obtained a preliminary injunction to block a proposed merger between competitors in the markets for “estimatics” (electronic systems used to estimate the cost of automobile collision repairs) and total loss valuation systems (software systems used to value passenger vehicles that have been totaled). Insurance companies are the primary customers of these systems. 56Commissioner […]

[…] inversed—public by default, private by choice. The Current Framework, established in a black and white era where the private and public spheres rarely coincided, often overlooks such shades of gray. Law- makers must now be ready to accord users a degree of privacy in public, setting limits on what may be done with personal […]

POLONETSKY*&*TENE*FINAL.DOCX*(DO*NOT*DELETE)*6/4/15*6:51*PM**333*BEYOND’THE’COMMON’RULE:””””””””’ETHICAL’STRUCTURES’FOR’DATA’RESEARCH’IN’NON4ACADEMIC’SETTINGS’JULES*POLONETSKY,*OMER*TENE,*&*JOSEPH*JEROME**ABSTRACT*…………………………………………………………………………………………………….*333!INTRODUCTION*…………………………………………………………………………………………….*334!I.!BIG*DATA*BENEFITS—AND*RISKS*……………………………………………………………*337!II.!CONTEXTUAL*AND*NONGCONTEXTUAL*DATA*USE*…………………………………..*339!III.!WHAT*SHOULD*BE*COVERED*BY*A*CSRB*………………………………………………..*341!A.!Data&experimentation*………………………………………………………………*341!B.!Non1contextual&data&uses*………………………………………………………..*346!C.!Disparate&impact*………………………………………………………………………*349!IV.!CSRB*STRUCTURE*………………………………………………………………………………….*352!A.!Who&is&covered*…………………………………………………………………………..*352!B.!External&(FTC1approved)&or&Internal&(Organization1led)*…*353!V.!GUIDELINES*FOR*CSRB*ENGAGEMENT*…………………………………………………….*356!A.!Guiding&Substantive&Principles*……………………………………………….*356!1.!Respect*for*persons*…………………………………………………………*357!2.!Beneficence*………………………………………………………………………..*358!3.!Justice*………………………………………………………………………………….*360!4.*Respect*for*law*………………………………………………………………….*361!B.!Promoting&Independence&and&Trust*………………………………………*362!C.&Documentation&and&Accountability*……………………………………….*365!CONCLUSION*…………………………………………………………………………………………………*366!*ABSTRACT*As* scientific* knowledge* advances,* new* data* uses* continuously*emerge* in* a* wide* variety* of* contexts,* from* combating* fraud* in* the*payment* card* industry,*to*reducing* the* time* commuters*spend* on*the* road,*detecting* harmful* drug* interactions,* improving* marketing*mechanisms,* personalizing* the* delivery* of* education* in* K–12*************Jules*Polonetsky*is*CoGchair*and*Executive*Director,*Omer*Tene*Senior*Fellow,*and*Joseph* Jerome* Policy* Counsel* at* the* Future* of* Privacy* Forum.* We* would* like* to* thank*Arielle*Brown*for*excellent*assistance*with*research*and*drafting.** POLONETSKY*&*TENE*FINAL.DOCX*(DO*NOT*DELETE)*6/4/15**6:51*PM*334*COLO.&TECH.&L.J.*,*available& at*http://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_may_1_2014.pdf.***2.**Rooted* in* […]

[…] tracking of genetic information, personal finance, and myriad other types of data. Even when monitoring is self -directed, however, these data can impact interpersonal relationships (for ex ample, by facilitating comparison and competition within one’s personal networks). 15 In many areas of life, then, individuals use data gathering and analysis tools to manage their […]

[…] Engine ” light. By gi ving vehicle owners this early warning, OBD protects not only the environment but also consumers, identifying minor problems before they become major repair s. OBD assist s in the service and repair of vehicles by providing repair technicians with a simple, quick, and effective way to pinpoint problems by […]

[…] retained beyond the time 19 strictly necessary to provide s uch immedi ate answer or service; 20 (C) to perform system maintenance, diagnostics, debugging , or error repair s to 21 ensure or up date the functionality of a product or service provided by the covered 22 entity ; 23 (D) to detect or […]

[…] techniques for de-identification. FPF is recognized for its signature expertise in de-identification, publishing A Visual Guide to De-Identification (April 2016), as well as law review articles like Shades of Gray: Seeing the Full Spectrum of Practical Data De-identification, 56 Santa Clara L. Rev.593 (2016). Facilitating ethically responsible access to administrative data for privacy protective […]