“I’ve argued that we need to be skeptical of both hype and hysteria. We should ask tough questions on a case-by-case basis whenever we have reason for concern. Are the underlying data accessible? Has the performance of the algorithm been assessed rigorously—for example, by running a randomized trial to see if people make better decisions with or without algorithmic advice? Have independent experts been given a chance to evaluate the algorithm? What have they concluded? We should not simply trust that algorithms are doing a better job than humans, nor should we assume that if the algorithms are flawed, the humans would be flawless.”