Flock license plate readers: Difference between revisions

This was gonna only be about adding a category, but I found that the entire final hard was a mess!
Clarify that "Anonymized Data" is defined in Flock's Terms and Conditions. Fix capitalization.
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Data collected includes location history that can reveal sensitive information about medical visits, religious attendance, political activities, and personal associations. While Flock states data is deleted after 30 days, contracts grant them ''"perpetual, worldwide, royalty-free license"'' to use anonymized data indefinitely.<ref>{{Cite web|url=https://www.flocksafety.com/terms-and-conditions|title=Terms and Conditions|work=Flock Safety|access-date=2025-08-23}}</ref> The system shares data across a network of over 4,800 law enforcement agencies nationally.<ref>{{Cite web|url=https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/|title=Lawsuit Argues Warrantless Use of Flock Surveillance Cameras Is Unconstitutional|work=404 Media|date=2024|access-date=2025-08-23}}</ref>   
Data collected includes location history that can reveal sensitive information about medical visits, religious attendance, political activities, and personal associations. While Flock states data is deleted after 30 days, contracts grant them ''"perpetual, worldwide, royalty-free license"'' to use anonymized data indefinitely.<ref>{{Cite web|url=https://www.flocksafety.com/terms-and-conditions|title=Terms and Conditions|work=Flock Safety|access-date=2025-08-23}}</ref> The system shares data across a network of over 4,800 law enforcement agencies nationally.<ref>{{Cite web|url=https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/|title=Lawsuit Argues Warrantless Use of Flock Surveillance Cameras Is Unconstitutional|work=404 Media|date=2024|access-date=2025-08-23}}</ref>   


====="Anonymized data"=====
====="Anonymized Data"=====
While Flock defines anonymized data as customer data that is ''"permanently stripped of identifying details and any potential personally identifiable information"''  and is rendered so that a person or entity ''"can no longer be identified directly or indirectly,"'' this definition includes information such as vehicle make, model, color, location patterns, and other non–license-plate attributes.<ref>{{cite web |date=2025-07-22 |title=Terms and Conditions |url=https://www.flocksafety.com/legal/terms-and-conditions |access-date=2025-08-23 |website=Flock Safety}}</ref>
While Flock's Terms and Conditions define "Anonymized Data" as customer data that is ''"permanently stripped of identifying details and any potential personally identifiable information"''  and is rendered so that a person or entity ''"can no longer be identified directly or indirectly,"'' this definition includes information such as vehicle make, model, color, location patterns, and other non–license-plate attributes.<ref>{{cite web |date=2025-07-22 |title=Terms and Conditions |url=https://www.flocksafety.com/legal/terms-and-conditions |access-date=2025-08-23 |website=Flock Safety}}</ref>


Privacy researchers caution that mobility datasets labeled as "anonymized" can still be re-identified. A 2013 MIT study found that just four spatio-temporal points uniquely identified 95% of individuals in an anonymized location dataset.<ref>{{cite journal |last=de Montjoye |first=Y.-A. |last2=Hidalgo |first2=C. A. |last3=Verleysen |first3=M. |last4=Blondel |first4=V. D. |year=2013 |title=Unique in the Crowd: The privacy bounds of human mobility |url=https://www.nature.com/articles/srep01376 |journal=Scientific Reports |volume=3 |pages=1376 |doi=10.1038/srep01376 |access-date=2025-08-23}}</ref> Multiple peer-reviewed studies from 2018-2024 demonstrate that "anonymized" vehicle location data can be re-identified with high accuracy. A 2022 study showed researchers could re-identify drivers from raw vehicle network data with 97% accuracy by exploiting interdependencies in sensor measurements.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S0167404822002139|title=Privacy-preserving vehicle trajectory matching|website=ScienceDirect|date=2022|access-date=2025-10-05}}</ref> Research published in the Journal of Computer Science and Technology (2022) found that even 3-4 location points can uniquely identify individuals.<ref>{{cite journal|url=https://link.springer.com/article/10.1007/s11390-022-2409-x|title=Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing|journal=Journal of Computer Science and Technology|date=2022|access-date=2025-10-05}}</ref>
Privacy researchers caution that mobility datasets labeled as "anonymized" can still be re-identified. A 2013 MIT study found that just four spatio-temporal points uniquely identified 95% of individuals in an anonymized location dataset.<ref>{{cite journal |last=de Montjoye |first=Y.-A. |last2=Hidalgo |first2=C. A. |last3=Verleysen |first3=M. |last4=Blondel |first4=V. D. |year=2013 |title=Unique in the Crowd: The privacy bounds of human mobility |url=https://www.nature.com/articles/srep01376 |journal=Scientific Reports |volume=3 |pages=1376 |doi=10.1038/srep01376 |access-date=2025-08-23}}</ref> Multiple peer-reviewed studies from 2018-2024 demonstrate that "anonymized" vehicle location data can be re-identified with high accuracy. A 2022 study showed researchers could re-identify drivers from raw vehicle network data with 97% accuracy by exploiting interdependencies in sensor measurements.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S0167404822002139|title=Privacy-preserving vehicle trajectory matching|website=ScienceDirect|date=2022|access-date=2025-10-05}}</ref> Research published in the Journal of Computer Science and Technology (2022) found that even 3-4 location points can uniquely identify individuals.<ref>{{cite journal|url=https://link.springer.com/article/10.1007/s11390-022-2409-x|title=Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing|journal=Journal of Computer Science and Technology|date=2022|access-date=2025-10-05}}</ref>
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In Illinois, a Flock representative allegedly threatened a Department of Transportation official with police pressure when questioned about permit applications.<ref>{{Cite web |last=Uprise RI Staff |date=2024-10-23 |title=As Flock Surveillance Cameras Proliferate in Rhode Island, Lawsuit Challenges Their Legality |url=https://upriseri.com/as-flock-surveillance-cameras-proliferate-in-rhode-island-lawsuit-challenges-their-legality/ |url-status=live |access-date=2025-08-25 |website=UPRISE RI}}</ref>
In Illinois, a Flock representative allegedly threatened a Department of Transportation official with police pressure when questioned about permit applications.<ref>{{Cite web |last=Uprise RI Staff |date=2024-10-23 |title=As Flock Surveillance Cameras Proliferate in Rhode Island, Lawsuit Challenges Their Legality |url=https://upriseri.com/as-flock-surveillance-cameras-proliferate-in-rhode-island-lawsuit-challenges-their-legality/ |url-status=live |access-date=2025-08-25 |website=UPRISE RI}}</ref>


===== '''In Evanston:''' =====
====='''In Evanston:'''=====
Flock was ordered to remove 18 stationary cameras. The city put the contract with Flock on a 30-day termination notice on August 26. Flock Initially appeared to comply, removing 15 of the cameras by September 8. Later, <u>Flock was caught reinstalling all of them by the following Tuesday without authorization from the city.</u>
Flock was ordered to remove 18 stationary cameras. The city put the contract with Flock on a 30-day termination notice on August 26. Flock Initially appeared to comply, removing 15 of the cameras by September 8. Later, <u>Flock was caught reinstalling all of them by the following Tuesday without authorization from the city.</u>