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Policy Makers Briefings

One of our primary goals at the Algorithmic Justice League is to stop relying solely on self regulation and, instead, demand government oversight alongside training, testing and commercialization of AI systems. In order to advance our goal we can assist policy makers with relevant research and participation in official briefings.
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If you’re a policy maker, please fill out the form below and a member of our team will be in touch as soon as possible.

How did you hear about the algorithmic justice league?

Thank you for your interest in the Algorithmic Justice League.

For more information, please refer to Facial Recognition Technologies: A Primer for a basic introduction to the terminology, applications, and difficulties of evaluating this complex set of technologies. 

For educational content, please refer to the following Hearings & AJL statements:
  • Federal Trade Commission: “Competition and Consumer Protection in the 21st Century” Testimony"
  • U.S House of Representatives Committee on Science, Space, & Technology Congressional Hearing: “Algorithmic Intelligence: Societal and Ethical Implications” 
  • House Committee on Oversight and Reform Congressional Hearing: “Facial Recognition Technology (Part 1): Its Impact on Our Civil Rights and Liberties” 
  • AJL’s Urgent Letter: “We Must Fight Face Surveillance to Protect Black Lives”
  • AJL and the Center on Technology & Privacy at Georgetown Law announce the Sunset of Safe Face Pledge
  • ‍‍Algorithmic Justice League’s FAQs on FRTs
Additionally, AJL is currently building a team of Agents and community partners who will work together to learn from those who have been directly harmed by algorithmic systems, as well as from the successes and failures of bug bounty and coordinated disclosure programs. Our goal is to create new ways to hold companies accountable, help build better AI systems, and provide new opportunities for individuals in this field. 

To learn more about the Community Reporting of Algorithmic System Harms (CRASH), visit crash.ajl.org.
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Many thanks,
The AJL Team
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