Subverting Machines, Fluctuating Identities - Re-Learning Human Categorization
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a thought-provoking 16-minute conference talk presented at the Association for Computing Machinery (ACM) that delves into the complex interplay between machine learning and human identity. Examine how traditional categorization methods are being challenged and reimagined in the digital age. Join speakers Jackie Kay, Christina Lu, and Kevin McKee as they discuss innovative approaches to subverting machine-based classification systems and embracing the fluidity of human identities. Gain insights into the evolving landscape of human categorization and its implications for technology, society, and individual expression.
Syllabus
Subverting machines, fluctuating identities: Re-learning human categorization
Taught by
ACM FAccT Conference
Related Courses
Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"Association for Computing Machinery (ACM) via YouTube Translation Tutorial - Data Externalities
Association for Computing Machinery (ACM) via YouTube Translation Tutorial - Causal Fairness Analysis
Association for Computing Machinery (ACM) via YouTube Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments
Association for Computing Machinery (ACM) via YouTube Responsible AI in Industry - Lessons Learned in Practice
Association for Computing Machinery (ACM) via YouTube