SEC Integrates AI and Machine Learning for Risk Assessment
The regulator began using machine learning after the 2008 financial crisis and is working on creating more machine-readable documents.
Machine learning and artificial intelligence are helping the SEC speed up the process for identifying possible misconduct.
SEC acting director for the division of economic and risk analysis, and acting chief economist Scott Bauguess said during his keynote speech at the CyberRisk North America event in New York that the regulator has been working on integrating artificial intelligence into its examination process.
“The underlying science is remarkable and this data-driven approach makes it
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