translation software is no better. professional stereotypes even in finnish which has. now she is a baby sitter she is a nanny. is a secretary he is the leader. these prejudiced algorithms have huge implications for our daily lives for example. women receive more suggestions for lower paying jobs than men a study by carnegie mellon university. says it's not only algorithms that are to blame because they are still programmed and fed with information by humans algorithms because we train it using machine learning either whether it's deep learning with a neural network so to speak or shallow machines were feeding it data and were asking it to form an opinion. and of course when that opinion is based on data