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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. 

2019
Issue 04/2019

Establishing trustworthiness is vital in our human-machine world

As long as human civilization has existed, people have needed to trust people in personal and business situations. Trust is at the heart of everything.

Over the last century, automation has advanced in many industries. More recently people must work with non-human entities, which increasingly use artificial intelligence (AI) technologies.