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Just Numbers #523
[ UUID ] b45ac696-8667-4084-af34-1fc6291c8c69
[ Session Name ] Just Numbers
[ Submitter's Name ] Nasser Eledroos
[ Additional facilitators ] Di Luong,Pierce Stanley,Paulina Bustos Arellano,Benjamin Dean
What will happen in your session?
Machine learning and face recognition software are being increasingly used by police and law enforcement in the US for surveillance and censorship of political rally participants, civil liberty advocates, and citizens. This is an introduction to how police collect data from citizens through surveillance equipment. Session will discuss how to analyze open records and surveillance data.
Participants will discuss real case studies, like recent case of ACLU obtaining social media data collected by police to track activists online. Participants will work in small groups to develop a community solution to current surveillance tactics. Workshop is intended for both non-technical and technical solutions for fixing bias data collected from predictive policing practices.
What is the goal or outcome of your session?
Participants will learn how to use dataset as a storytelling tool. We want to transform spreadsheets and police records into human stories. Law enforcement agencies are using flawed data as the basis for their algorithmic equations, calculations that are determining who gets arrested or go to prison in America.
Our session will provide participants with 1) increase understanding of surveillance technology is used within neighborhoods across the United States and online, 2) examples of community efforts to combat invasive law enforcement tactics through legislation and advocacy, and 3) tools for documenting and organizing against surveillance and predictive policing practices that encroach our civil liberties, human rights, and Internet privacy.
If your session requires additional materials or electronic equipment, please outline your needs.
Hi @eledroos & team,
As MozFest is approaching we require the following information from your end to better support your session in the Decentralization learning forum space. You can get back to us by replying to this issue or emailing us directly, whichever communication channel is convenient to you.
Thank you! Please don't hesitate to contact us if you have any queries.