When "Human in the Loop" Doesn't Work

One of the most common AI safeguards is to keep a human in the loop to catch the machine’s mistakes. But that assumes the human remains an independent check on the machine. If the influence runs the other way, as some research suggests, AI may alter the judgment and memories people rely on to catch its mistakes, which undermines the whole premise of the human backstop. -Washington Post