- Research
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Regulatory Reform in Ontario: Machine Learning and Regulation
Summary:
| Citation | . 2018. "Regulatory Reform in Ontario: Machine Learning and Regulation". Research. Toronto: C.D. Howe Institute |
| Page Title: | Regulatory Reform in Ontario: Machine Learning and Regulation – C.D. Howe Institute |
| Article Title: | Regulatory Reform in Ontario: Machine Learning and Regulation |
| URL: | https://cdhowe.org/publication/regulatory-reform-ontario-machine-learning-and-regulation/ |
| Published Date: | March 29, 2018 |
| Accessed Date: | March 25, 2025 |
Outline
Outline
Related Topics
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.
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