Battling the Tyranny of Big Data
A face in the crowd.
Photographer: Peter Macdiarmid/Getty ImagesThe data scientists writing the algorithms that drive giants like Alphabet Inc. (Google) and Facebook Inc. are today's technology wizards, and companies and governments increasingly use their creations -- often in secret and with little oversight -- to do everything from hiring and firing employees to identifying likely suspects for police monitoring. But there's a dark side -- and computer scientists warn that we'll need a lot more transparency if the big-data revolution is really to work for all of us.
In her recent book "Weapons of Math Destruction," mathematician Cathy O'Neil tells the story of Sarah Wysocki, a teacher fired from her job at MacFarland Middle School in Washington, after a computer algorithm churning through numbers on student performance judged her to be a poor teacher. Both students and parents consistently ranked Wysocki as an excellent teacher, yet she couldn't fairly challenge the decision because the company that developed the algorithm claimed a right to proprietary secrecy. Her firing stood despite near certainty that the algorithm, with the limited data it analyzed, couldn't have reached any statistically meaningful conclusion.