Thursday, June 6, 2019
Simons Institute Workshop Wrong at the Root: Racial Bias and the Tension Between Numbers and Words in Non-Internet Data
Workshop | June 5 – 7, 2019 every day | 9 a.m.-5 p.m. | Calvin Laboratory (Simons Institute for the Theory of Computing)
Artificially intelligent systems extrapolate from historical training data. While the training process is robust to noisy data, systematically biased data will inexorably lead to biased systems. The emerging field of algorithmic fairness seeks interventions to blunt the downstream effects of data bias. Initial work has focused on classification and prediction algorithms.
This cross-cutting... More >