“It’s usually been tough to evaluate discrimination,” he suggests, incorporating, “AI-pushed methods are occasionally a lot easier to look at and measure than individuals, and a single purpose of my work is usually to know how we'd leverage this improved visibility to come up with new techniques to figure out when methods are behaving badly