In a world increasingly shaped by algorithmic decisions, ensuring that artificial intelligence (AI) systems are explainable and trustworthy has never been more urgent. Dr. John Dorsch from CETE-P argues that we've been looking at this the wrong way.
Quan Zhou
I am a PhD student at Imperial College London, working with Professors Robert Shorten and Jakub Marecek (AIC). I received my Master degree in Operational Research with Risk from University of Edinburgh in UK and Bachelor degree in Insurance from Hunan University in China. My interests are in fairness in machine learning, but we have used a fair amount of convex and non-convex (and sometimes non-commutative) optimization therein.
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