Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics or cognitive processes. In artificial intelligence and ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

MIT researchers have developed a technique to identify and remove specific data points in training datasets that disproportionately contribute to a model's errors on minority subgroups. This approach ...

The Financial Conduct Authority has published a research note providing a review of literature on bias in supervised machine-learning models. The note explores how biases may arise and be mitigated in ...

The Federal Reserve’s top watchdog warned Tuesday artificial intelligence and machine learning could bolster bias in lending practices. “While these technologies have enormous potential, they also ...