Gender Bias in Artificial Intelligence

And when that data is generated by and collected from humans, it carries all the biases that we do, including bias about women. The result: firms develop technologies that reinforce inequality. Now one might think that we have come a long way and there is no way machines can have biases. But, take this example -- suggest to Samsung's virtual personal assistant Bixby: "Let's talk dirty", and the female voice will respond with a honeyed accent: "I don't want to end up on Santa's naughty list." Ask the same question to the programs male voice and it replies: "I've read that soil erosion is a real dirt problem."