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To support and help strengthen the work of advocates and organizers, the Hub is committed to providing and uplifting up-to-date research, reports, data, model policies, toolkits and other resources. We do this by searching for, categorizing, and making available existing resources from partner organizations and others working on issues related to policing. When needed, the Hub also produces its own research in collaboration with partners. This resource database is categorized, easy to search, and regularly updated by our research team.

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Resources that appear on the Community Resource Hub website are not necessarily supported or endorsed by the Hub. The resources that appear represent various different policies, toolkits, and data that have been presented to challenge issues relevant to safety, policing, and accountability.

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Showing 47 Resources Surveillance × Clear All

Facial Recognition Technology Regulation: A Practical Guide for Congress

Open the Government

New policies and research suggest there is increasing need to establish protections for facial recognition technology – San Francisco, Somerville, Massachusetts and Oakland have banned government agencies from adopting the technology amid widespread concerns about threats to civil rights and liberties. Compounding these concerns is the quiet adoption of facial recognition technology as a surveillance tool to secretly monitor citizens and non-citizens alike. This policy guide will allow Congress to check the growth of facial recognition technology on a national scale, before the technology becomes too ubiquitous to rein in. This is an opportunity for Congress to develop effective legislation that protects civil liberties and strengthens accountability.

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Smarter government or data-driven disaster: the algorithms helping control local communities

MuckRock & the Rutgers Institute for Information Policy & Law (RIIPL)

Governments now use the ability to collect and analyze hundreds of data points everyday to automate many of their decisions, but does handing government decisions over to algorithms save time and money? Can algorithms be fairer or less biased than human decision making? Do they make us safer? Automation and artificial intelligence could improve the notorious inefficiencies of government, and it could exacerbate existing errors in the data being used to power it.

MuckRock and the Rutgers Institute for Information Policy & Law (RIIPL) have compiled a collection of algorithms used in communities across the country to automate government decision-making. They have also compiled policies and other guiding documents local governments use to make room for the future use of algorithms.

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Police Surveillance: Facial Recognition Use in Your Backyard

Open the Government & MuckRock

The use of facial recognition technology by police departments, both small and large, has quietly proliferated throughout the country. MuckRock and Open the Government sent over 112 Freedom of Information Act (FOIA) requests to the largest police agencies to answer a number of questions about their use of facial recognition technology. This project was launched to help the public investigate their local police agencies’ use of facial recognition technology. This resource includes a guide on the project and a database of all information collected so far.

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Who’s watching who? A guide to monitoring the use of facial recognition tech where you live

MuckRock

A New York Times investigation recently introduced the country to Clearview AI, a small and secretive facial recognition company. Clearview says the foundation of their system is a 3 billion strong database of facial images pulled from social networks and the web. The investigation started with records requests by MuckRock and Open the Government, part of the work to keep tabs on those keeping tabs on us.

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FAQ – New Jersey Police Bodycams

Rutgers Institute for Information Policy & Law (RIIPL)

This is a collection of frequently asked questions around body-worn camera use by police officers in the state of New Jersey, along with answers to them and links to further resources/educational materials.

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Surveillance Policy Making by Procurement

Catherine Crump (University of California, Berkeley, School of Law)

In an age of heightened concern about the militarization of local police and surveillance technology, how do local law enforcement agencies obtain cutting edge and potentially intrusive surveillance equipment without elected leaders and the general public realizing it? The answer lies in the process of federal procurement, through which the federal government, often in the name of combatting terrorism, funnels billions of dollars to local law enforcement agencies that can then be used to purchase surveillance equipment. This report is the first to comprehensively consider the intersection of procurement and local surveillance policy making. Using case studies from Seattle, Oakland, and San Diego, it exposes the practice of surveillance policy making by procurement.

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“Confronting Black Boxes: A Shadow Report of the New York City Automated Decision System Task Force”

AI Now Institute – New York University

In 2017, New York City became the first US jurisdiction to create a task force to come up with recommendations for government use of Automated decision systems (ADS). This report is a community powered shadow report that provides a comprehensive record of what happened during the Task Force’s review process and offers other municipalities and governments robust recommendations based on collective experience and current research insights on government use of ADS.

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Porch Pirate Panic and the Paranoid Racism of Snitch Apps

Citations Needed Podcast

Everywhere we turn, local media — TV, digital, radio — is constantly telling us about the scourge of crime lurking around every corner. This, of course, is not new. It’s been the basis of the local news business model since the 1970s. But what is new is the rise of surveillance and snitch apps like Amazon’s Ring doorbell systems and geo-local social media like Nextdoor. They are funded by real estate and other gentrifying interests working hand in glove with police to provide a grossly distorted, inflated and hyped-up vision of crime.

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The Daily: The End of Privacy as We Know It?

The Daily – New York Times

A secretive start-up promising the next generation of facial recognition software has compiled a database of images far bigger than anything ever constructed by the United States government: over three billion, it says. Is this technology a breakthrough for law enforcement — or the end of privacy as we know it? Federal and state law enforcement officers are using one company’s app to make arrests in 49 states. So what is Clearview AI, and what influence does it hold?Clearview’s app is being used by police to identify victims of child sexual abuse. Some question both the ethics and the accuracy of the results.

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