In order to overcome systematic racial biases that can show up in algorithms, three scholars at a June 19 Brookings Institution webinar suggested putting recognition of historical racial bias at the center of algorithm development from the very beginning of the design process. […]

Brookings AI event
Big Data Analytics

Despite near-universal trust in the science of mathematics, human biases can readily creep into data analysis and design of algorithms, leading author and algorithmic auditor Cathy O’Neil to warn that biases baked into algorithms may create sweeping consequences for both individuals and society as a whole.