This course aims to educate participants on the use of facial recognition technology for police oversight and accountability. The learning outcomes include understanding the implications of facial recognition in surveillance, learning about the OpenOversight project, and exploring the technical implementation of facial recognition tools like AWS Rekognition and face-api.js. The course teaches participants how to identify officers using facial recognition, sort through photos, and address legal and ethical concerns related to this technology. The teaching method involves a presentation of technical tools and strategies, with a focus on community responses to state surveillance. The intended audience for this course includes individuals interested in technology, law, civic engagement, and police accountability.
Overview
Syllabus
Intro
Bias in Facial Recognition
Facial Recognition Lacks Regulation
How Does It Work?
Why Is OpenOversight Necessary?
Cue: Audience Participation!
Warden v. Superintendent of the Chicago Police Department
User Submissions
How Do Photos Get Sorted?
What's The Catch?
Ethical Concerns
A Mulching Proposal
Legal Concerns
AutoDetect Officer Presence
Rekognition - Detect Labels Demo
Rekognition - AutoDetect Faces Demo
Adding Face-api.js to a Project
AutoFace Detection: Loading the Models
AutoFace Detection: More Code!
AutoFace Detection Demo
Implementing Facial Recognition
Burlington, Vermont
Facial Recognition Demo
In Review
Panopticon: Look to the Center
Taught by
Strange Loop Conference
