Researchers at Waterloo Engineering have developed computer software capable of explaining the decisions made by powerful artificial intelligence (AI) systems in the world of finance.
Explainability, as it is called, is crucial to the widespread adoption of deep-learning AI algorithms in the financial sector, both to satisfy regulatory requirements and to give users insights needed to accept, or reject, their recommendations.
“If you’re investing millions of dollars, you can’t just blindly trust a machine when it says a stock will go up or down,” said Devinder Kumar, the lead researcher and a PhD candidate in systems design engineering at Waterloo.
Click here for the full story and here for the published research paper.
Devinder Kumar, a PhD candidate in systems design engineering at the University of Waterloo, is the lead researcher on work to explain the decisions made by powerful AI systems in finance.