How ‘Jagged Intelligence’ Can Reframe the A.I. Debate

The strange way that A.I. looks like a genius at one moment and dense in another is what researchers, engineers and economists call “jagged intelligence.” They use this term to explain why A.I is racing ahead in some areas — like math and computer programming — while still struggling to make headway in others. The term, which is widely used by the people building A.I. and analyzing its effects, could help reframe the debate over whether these systems are becoming as smart as, or even smarter than, humans. Instead, researchers argue, A.I. is something completely different: far better than humans at some tasks and far worse at others. Understanding those strengths and weaknesses can also help economists get a better handle on what A.I. means for the future of employment. While entry-level programmers have reason to worry about their jobs, for example, it is not so clear — at least right now — how A.I. will affect other work. But watching where A.I. starts to make rapid improvements could help predict what kinds of jobs will be affected by the technology.