To Improve AI Outcomes, Think About the Entire System

CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. I’m Curt Nickisch.

A shiny new piece of technology is not good enough on its own. It needs to be implemented at the right time, used in the right context, and accepted in the right culture, applied in the right way. In short, it needs to be part of the right system. And that’s true for artificial intelligence too. AI can help individuals and teams make better predictions, combine that with judgment and you get better decisions. But those decisions have ripple effects on other parts of the system, ripple effects that can undermine the very prediction that was made.

Our guest today says, “If organizations want to take artificial intelligence to the next level, they need to get better at coordinating optimal decisions over a wider network.” Joshua Gans is a strategy professor at the University of Toronto’s Rotman School of Management. He co-wrote the HBR article, From Prediction to…

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