Explore the ethical implications and technical limitations of facial recognition technology in this 27-minute PyCon US talk. Delve into the widespread adoption of biometric scanners and their applications in criminal identification, job interviews, and school attendance monitoring. Examine studies revealing lower accuracy rates for darker-skinned individuals and misgendering issues for trans and non-binary people. Investigate the rise of techno-surveillance and its potential impact on citizen privacy. Learn about the Gender Shades Project and its influence on auditing facial recognition systems. Discuss the challenges of emotion recognition and the problematic aspects of computer vision in gender classification. Consider the misuse of facial recognition and the intersection of technology and power. Gain insights on when to refrain from building, designing, or deploying such technologies to prevent harm to vulnerable populations.
Overview
Syllabus
Intro
DISCLAIMER
Face Recognition in the News
Phrenology v2.0
Why Algorithmic Accountability Matters?
Gender Shades Project
Gender Shades - Impact
Auditing Facial Recognition Systems
Common Emotions & Micro-Expressions
Facial Action Coding System
Why Emotion Recognition won't scale
The Misgendering Machine
Computer Vision and Gender
THE AGE OF SURVEILLANCE
Misuse of Face Recognition
Technology and Power
When Not to Build, Design, or Deploy
Taught by
PyCon US
