With the rise of artificial intelligence and concern about its potential impact on jobs, U of T's Ajay Agrawal, Joshua Gans and Avi Goldfarb argue that human judgment will become an increasingly valuable skill.
"In many cases, especially in the near term, humans will be required to exercise this sort of judgment," they write in the Harvard Business Review. "They'll specialize in weighing the costs and benefits of different decisions, and then that judgment will be combined with machine-generated predictions to make decisions."
Agrawal is a professor of entrepreneurship at U of T's Rotman School of Management and founder of the Creative Destruction Lab, U of T's widely recognized seed-stage accelerator program, which has a strong AI focus. Gans is a professor of strategic management at Rotman, and Goldfarb is a professor of marketing at Rotman and chief data scientist at the Creative Destruction Lab.
The trio say it's still too early to tell whether machine predictions will decrease or increase the overall amount of work available for humans.
"Rather than trying to predict specifics, we suggest an alternative approach," they argue. "Economic theory suggests that AI will substantially raise the value of human judgment. People who display good judgment will become more valuable, not less."
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