AI Magazine December 2021 | Page 23

“ ACTIUM HEALTH LOOKS TO SEE IF THE BIAS IVS EMBEDDED INTO ANY PREDICTOR THAT WE ' RE USING OR IS THERE AN OVERALL BIAS , JUST BASED ON THE IMBALANCE OF THE DATASET ” in healthcare consumerism , or the spreading infodemic . We look at the intersection between these and data science every week .

Q . HOW DOES ACTIUM HEALTH OVERCOME ISSUES WITH AI SUCH AS BIASES IN DATA AND MACHINE LEARNING ?

» Research by Dr Ziad Obermeyer showed that cultural and economic differences are reflected in algorithms . To overcome this , you first need to acknowledge that data just like everything else can be extremely

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