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[…] permitted to be used for. (See 3.1.1 and 3.1.2 .) ○ Example: If a company ’s goal is to monitor road conditions and identify potholes or other repair needs, then relying solely on data from on- vehicle cameras or motion sensors, which can have a high number of false positives , may not be […]

[…] owner, driver, passengers, and people outside of the vehicle. Similarly, “automobile data processors” is also defined fairly broadly and includes vehicle manufacturers, hardware and software suppliers, dealers, repair shops, and ride-hail companies.  Also notable are the references to and emphasis on driving safety. As vehicles become more connected and automated, safety standards will increasingly […]

[…] encouraged, to pursue particular goals that impact privacy or data protection. These include: drone privacy (DOT/FAA); studying the mobile app ecosystem (Dept. of Commerce); the right to repair (FTC, DoD); Net Neutrality (FCC); and financial data portability (CFPB). Most of the Executive Order provisions do not have immediate effect for the collection of consumer […]

[…] difficult or impossible to cancel. In other cases, the presence of “nudging” may be clear, but harms may be less clear, such as in beta-testing what color shades are most effective at encouraging sales. Still others fall in a legal grey area: for example, is it ever appropriate for a company to repeatedly “nag” […]

[…] this accidental-dissemination occurs more infrequently thanhacker attacks, such dissemination can be “disruptive, hurt the organization’s morale and publicrelations, and take a lot of time and money to repair.” How HR is Coping with Employee DataPrivacy, HRFOCUS, (July 2006), at 7 (discussing the many typesof PII possessed by a typical HR department such as: “Social […]

Social_Network_Theory_of_Privacy

[…] flip  property.   They can destroy someone’s credit, precluding their  ability to borrow money.  Identity theft  can  undermine  individuals’  ability  to  obtain  employ ment  as  employers  access  individuals’  credit  reports  in  making  hiring  decisions.    Some  in dividuals  can  repair  their  credit  reports  but only after spending on average over $5,720.  Ot hers, however, may lack the knowledge  and  means  to  repair  their  credit  reports.    They  may   be  unable  to  take  out  loans  and  get  insurance.  They might even face financial ruin.  M edical identity thieves leave individuals  […]

[…] data. However, it may only be through legislation that firms acquire sufficient incentive to actually improve their practices to re duce the likelihood of future breaches and repair consumer confidence. 4 This phrase is originally attributed to Justice Lo uis Brandeis, 1933, http://www.brandeis.edu/investi gate/sunlight/, accessed 11/08/07. 5 A fraud alert informs potential creditors that […]

[…] neighbor, supervisor or department chair. 3 If you desire to spend a bit more money, you can purchase or rent the 1 Abika.com, Psychological Profiles , http://www.abika.com/Reports/S amples/Psychologicalprofile.htm (last visited June 23, 2007). 2 See e.g. , Jonathan Krim, Online Data Gets Personal: Cell Phone Records for Sale , W ASH . POST , […]

[…] 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,! […]