Subverting Machines, Fluctuating Identities - Re-Learning Human Categorization

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.