via Marketplace
Feb. 13, 2018
A multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency.
Joy Buolamwini identifies bias in algorithms and develops practices for accountability during design.
Real-world biases and artificial intelligence
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.