University of Wisconsin–Madison

ProGov21 Policy Library

Policy Area
Policy Area Scrollable Checkbox List
Material Type
Material Type Scrollable Checkbox List
Level
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State
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Source
Source Scrollable Checkbox List
Year
Type Ordinance or Resolution
Year 2020
Level City or Town
State(s) Wisconsin
Source The Common Council of the City of Madison
Policy Areas Data & Technology
Face surveillance is an automated process that assists in identifying an individual based on their facial characteristics. This ordinance prohibits city agencies, departments, and divisions from possessing a face surveillance system or accessing information derived from a face surveillance...

Type Policy Brief or Report
Year 2016
Level City or Town, State, National
State(s) All States
Source Center on Privacy & Technology
Policy Areas Civil Rights, Public Safety, Data & Technology
Face recognition is the automated process of comparing two images of faces to determine whether they represent the same individual. Across the country, law enforcement performs face identification to identify individuals who refuse to identify themselves, compare mugshots against...

Type Policy Brief or Report
Year 2020
Level City or Town, County
State(s) All States
Source American Civil Liberties Union of California
Policy Areas Public Safety, Data & Technology
Surveillance technology such as drones, stingrays, and facial recognition software exacerbate discriminatory policing, suppress dissent, and facilitate harm to immigrants and people of color. This guide summarizes some lessons the American Civil Liberties Union of California has learned...

Type Policy Brief or Report
Year 2021
Level National
State(s) All States
Source Center for Democracy & Technology
Policy Areas Civil Rights, Data & Technology
Law and immigration enforcement’s use of facial recognition technology presents many harmful consequences: it permits invasive tracking and targeting that threatens individual privacy, prevents First Amendment activities (i.e. political protests and religious activities), relies on...

Type Policy Brief or Report
Year 2020
Level State, School District, National
State(s) All States
Source University of Michigan: Gerald R. Ford School of Public Policy
Policy Areas Education, Data & Technology
Facial recognition in schools risks amplifying and institutionalizing existing racial biases (resulting in disproportionate surveillance and humiliation of marginalized students), normalizing surveillance, and commodifying student data. This report strongly recommends that facial...

Type Policy Brief or Report
Year 2017
Level City or Town, National
State(s) Florida, Georgia, Illinois, Nevada, New York, Texas
Source Center on Privacy & Technology
Policy Areas Data & Technology
Travelers on certain international flights departing from Atlanta, Chicago, Las Vegas, Miami, New York City, Houston, and Washington, D.C., are having their faces scanned and compared to a Department of Homeland Security (DHS) biometric database to verify their identity. This report...

Type Policy Brief or Report
Year 2021
Level City or Town, State, National
State(s) All States
Source Community Resource Hub
Policy Areas Civil Rights, Community Development, Public Safety, Data & Technology
Police use of emerging surveillance technology, including facial recognition software, Stingray devices (transmitters which scan and collect data from cell phones), and social media monitors, has become increasingly popular across the United States. This report presents an overview...

Displaying 7 of 7 records.

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