Fairness In Machine Learning Research Featured In SIAM News

Research by IEOR assistant professor Anil Aswani and PhD student Matt Olfat was featured in the December 2018 news journal for the Society for Industrial and Applied Mathematics (SIAM). The article titled “Designing Algorithms to Increase Fairness in Artificial Intelligence” describes a novel approach to help make decisions made by artificial intelligence algorithms more fair and less biased. Currently, AI algorithms can perpetuate biases contained within the data they use for training, and may even discrimate based on protected classes (age, race, gender) by using other data in the dataset, such as a home address as a proxy for race.

Learn more about Aswani and Olfat’s research at at SIAM News