Description: Algorithms make predictions more accurate—but they also create risks of their own, especially if we do not understand them.
Date: Jan 1, 2016
High-profile examples abound. When Netflix ran a million-dollar competition to develop an algorithm that could identify which movies a given user would like, teams of data scientists joined forces and produced a winner. But it was one that applied to DVDs—and as Netflix’s viewers transitioned to streaming movies, their preferences shifted in ways that didn’t match the algorithm’s predictions.
Another example comes from social media. Today many sites deploy algorithms to decide which ads and links to show users. When these algorithms focus too narrowly on maximizing user click-throughs, sites become choked with low-quality “click-bait. Read the Rest of the Story
1. Discuss the pros and cons of ALGORITHMS in managing a business.
2. List some examples of algorithm successes in business, education, or government.