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How the new field of data science is grappling with ethics. It’s hard to imagine a world without personalized recommendations -- one in which Amazon and Netflix don't know what books or movies you might like, or Facebook and LinkedIn don't invite you to connect with friends and acquaintances.
Analysis of our online activities is so advanced that in one famous anecdote retailer Target “knew” a teenage girl was pregnant before her father did: he found out after the store sent her coupons for baby clothes and cribs. As we become more aware of how our actions are being studied, new academic programs in data science are cropping up with more frequency. This year, New York University and Columbia University launched new courses of study, joining similar programs at Stanford University, Northwestern University, Syracuse University and other educational institutions.
As new academic programs catch up with the use of big data in the real world, many also are grappling with how to teach ethics. Big data: The next frontier for innovation, competition, and productivity. The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office.
Leaders in every sector will have to grapple with the implications of big data, not just a few data-oriented managers. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data for the foreseeable future.
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