How should health systems put ethical AI into practice?

By now, health systems seeking to capitalize on the enormous potential of artificial intelligence are well aware – or should be, at least – of the inherent risks, even dangers, of algorithms and models that are suboptimally designed or trained on the wrong data.

But understanding the hazards of algorithmic bias or murky modeling techniques isn’t the same as knowing how to protect against them.

How can healthcare providers know how to spot…