Machine Hands on Flaws to Machine: The Surprising Sources of Biases in Machine Learning Models

AbstractAfter musing on the history and varying media of the concept of ‘gone viral’, Associate Professor of Architecture at the University of California, Berkeley, Kyle Steinfeld further investigates computational design through the lens of cultural practices. Even the seemingly most contemporary and innovative technological ideas and gizmos can be traced back to a series of legacy notions that remain silently present in new advances. The article discusses such ‘hinge’ moments and searches for them in AI.