Professor Ali Makhdoumi designed a data acquisition mechanism that maximizes platforms' utility while compensating privacy-sensitive users
The rise of artificial intelligence and machine learning is increasing the demand for data from app users, device owners, firms, consumers, and even patients.
As data-hungry technologies are getting more and more efficient, the key question is how to incentivize data-sharing while protecting users’ privacy, said Ali Makhdoumi, an associate professor of decision sciences at Duke University’s Fuqua School of Business.
[This article has been reproduced with permission from Duke University's Fuqua School of Business. This piece originally appeared on Duke Fuqua Insights]