Regulatory Reform in Ontario: Machine Learning and Regulation

Regulators can better use big data and machine learning to save time and money for businesses, individuals and themselves, according to a new report from the C.D. Howe Institute. In “Regulatory Reform in Ontario: Machine Learning and Regulation,” author Anthony Niblett explores how regulators can move toward more efficient and effective regulation by embracing data analytics and machine-learning tools.