AI and bias - IBM Research - US

AI systems are only as good as the data we put into them. Bad data can contain implicit racial, gender, or ideological biases. Many AI systems will continue to be trained using bad data, making this an ongoing problem. But we believe that bias can be tamed and that the AI systems that will tackle bias will be the most successful. A crucial principle, for both humans and machines, is to avoid bias and therefore prevent discrimination.