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[…] of information where it would be against the best interest of society to permit the free trade thereof. For example, the relationship between doctors and patients is typica lly viewed as sacrosanct. We thus suggest that personal health information is one category of information that service providers outside this circle would not be able […]

[…] academics in related fields. As discussed above, as a general matter German regulators do not facilitate interaction with civil society organizations or academics. Meetings with regulators are typically one-on – one or occasionally with peer firms and the regulator to discuss a cross- cutting issue. To the extent that civil society, industry, and regulators […]

[…] of vehicles. City planners and departments of transportation should be able to use aggregate driving informat ion to optimize traffic flows and identify roads in need of repair. According to one survey, the growth of embedded in -car telematics will ensure that connected cars make up over 5% of connected devices by 2025, compared […]

[…] control! while!tightening!requirements!for!transparency,!access!and!accuracy.!!!Definition$of$PII$Traditionally,!deHidentification! was! viewed! as! a! silver! bullet! allowing! organizations! to! reap! the!benefits!of!analytics!while!preserving!individuals’!privacy.94!Organizations!used!various!methods!of!deHidentification! (anonymization,! pseudonymization,! encryption,! keyHcoding,!data!sharding)!to!distance! data! from! real! identities.95!Yet,!over! the! past! few! years,!computer! scientists! have!repeatedly!shown!that!even!anonymized!data!can! typically!be!reHidentified!and!associated!with!specific! individuals.96!DeHidentified! data,! in! other! words,! is! a! temporary!state!rather! than! a!stable!category.97!In!an!influential!law!review!article,!Paul!Ohm!observed!that!”[r]eHidentification!science! disrupts! the! privacy! policy! landscape! by! undermining! the! faith! that! we! have! placed! in!anonymization.”98!The! implications! for! […]

[…] control! while!tightening!requirements!for!transparency,!access!and!accuracy.!!!Definition$of$PII$Traditionally,!deHidentification! was! viewed! as! a! silver! bullet! allowing! organizations! to! reap! the!benefits!of!analytics!while!preserving!individuals’!privacy.94!Organizations!used!various!methods!of!deHidentification! (anonymization,! pseudonymization,! encryption,! keyHcoding,!data!sharding)!to!distance! data! from! real! identities.95!Yet,!over! the! past! few! years,!computer! scientists! have!repeatedly!shown!that!even!anonymized!data!can! typically!be!reHidentified!and!associated!with!specific! individuals.96!DeHidentified! data,! in! other! words,! is! a! temporary!state!rather! than! a!stable!category.97!In!an!influential!law!review!article,!Paul!Ohm!observed!that!”[r]eHidentification!science! disrupts! the! privacy! policy! landscape! by! undermining! the! faith! that! we! have! placed! in!anonymization.”98!The! implications! for! […]

[…] customers .44 Government enforcers (e.g., the Federal Trade Commiss ion, State Attorneys General and international Data Protection Agencies) usually face fewer conflicts -of-interest, 45 but government agencies typica lly bring enforcement actions only in egregious situations or for its precedent value .46 Implications . In the end, almost every ex post mechanism to enforce […]

[…] risks of generating biased conduct as well. I believe, however, that the problems mentioned are not inherent features of data mining, and they certainly are not beyond repair. If the data mining process is sufficiently t ransparent, it can effectively overcome these challenges. Adding interpretability and even causation to the data mining process could […]

[…] value by ensuring that products and services can be improved to better serve consumers. Privacy risks are minimal, since analytics, if properly implemented, deals with statistical data, typically in de-identified form. Yet requiring online users to opt into analytics would no doubt severely curtail its application and use. Policymakers must also address the role […]

[…] are on the cusp of considerable innovation, productivity, efficiency, and growth.  At the same time, there are privacy and security concerns associated with big data which could stir a regulatory backlash stifling economic growth and innovation in the process. In their paper, they call for the development of a model where the benefits of […]