Algorithms powered by A.I. and machine learning, much like other technologies that preceded them, carry both great promise of improving and advancing the human condition and enhancing productivity across a wide swath of economic activity. We have already seen the extraordinary impact A.I. has had on food production, agriculture, and healthcare; the potential is boundless—from self-driving cars to predicting financial markets and the weather.

As we increasingly rely on A.I., it is essential to make sure that the outcomes are free of bias. We need to ensure that the next iteration of the global digital economy—powered by A.I.—is attuned to serving the breadth of human needs and does not discriminate. And we have found that diversity of A.I. talent—across gender, race, and geography—and principles of inclusive innovation are crucial ingredients for safeguarding that future.