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Issue 06/2018

Eliminating bias from algorithms

Eliminating bias from the data used to train algorithms is a key challenge for the future of machine learning

Wael Diab, who is leading international efforts to standardize artificial intelligence (AI), has identified the mitigation of data bias as a priority challenge for eventual future standards work. Diab recently told the IEC General Meeting, in Busan, South Korea, that a broad standardization approach is necessary.