How not to create a racist, sexist robot

Robots are picking up sexist and racist biases based on information used to program them predominantly coming from one homogenous group of people, suggests a new study from Princeton University and the U.K.'s University of Bath. Lead study author, Aylin Caliskan says the findings surprised her. "There's this common understanding that machines are supposed to be objective. But robots based on artificial intelligence (AI) and machine learning learn from historic human data and this data usually contain biases," Caliskan tells The Current's Anna Maria Tremonti. Machine learning takes statistics and information that has been inputted and Caliskan argues it's only until humans become completely unbiased that the possibility of an unprejudiced robot can exist.