A way to rectify bias in AI

Jean-François Puget, a data professional who holds the title of IBM distinguished engineer, delivered a keynote presentation at the Strata Data Conference in London recently. The theme of his talk was the consideration of humans when bringing in automated processes. His main example focused the resistance people can have to new automated processes that work that they are not used to, but he also spoke of bias in artificial intelligence saying it "can be a bit more complex." Puget gave an example that he had worked on with his team, a study on facial recognition. They looked at members of parliament from all over the world and ran experiments with facial recognition services from major vendors.