ETHICS
“ Anyone wanting to sue will go after those with the deepest pockets – manufacturer or owner ”
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— Akash Sachdeva , Partner , Joelson
Prof Andy Pardoe , founder and managing director of Pardoe Ventures , explains , “ Most ethical decision-making issues are not driven by poor AI algorithms but inherent data bias and a lack of approaches to identify and manage these data challenges . We have to acknowledge that what we are seeing with AI now is simply a reflection of reality that is being exposed by the underlying data we are capturing . Training a machine learning algorithm with datasets that are not balanced for each group represented will cause potential predictive biases that reflect the underlying bias within the data .”
His solution is to train AI to spot bias . “ Researchers are now working on methods to both identify and resolve such biases allowing predictive models to be more equalised for each group represented . Even now experienced data scientists are able to reduce the impact of data bias using various techniques to select a more balanced training dataset .
“ As the tools to support the process of training AI algorithms mature , the problems of data bias and issues of ethical decision making will be a thing of the past , and we will be able to better trust the automated decisions from AI systems .”
Others feel the control should be inserted at a human level , reviewing algorithmic decision-making to ensure lack of bias .
Dr Nick Lynch , consultant and investment lead at the Pistoia Alliance , says , “ We ’ ve seen AI systems go ‘ wrong ’ in
DECEMBER 2020