Checking AI bias is a job for the humans

One of the primary problems with artificial intelligence (AI) is the "artificial" part. The other is the "intelligence." While we like to pretend that we're setting robotic intelligences free from our human biases and other shortcomings, in reality we often transfer our failings into the AI, one dataset at a time. Hannah Davis, a data scientist, calls this out, arguing that "a dataset is a worldview," filled with subjective meanings. But rather than leave our AI hopes moribund, she also offers some ways we might improve the data that informs our AI.