We've entered an era of digital connectivity and machine intelligence. Complex algorithms are increasingly used to make consequential decisions about us. Many of these decisions are subjective and have no right answer: who should be hired, fired or promoted; what news should be shown to whom; which of your friends do you see updates from; which convict should be paroled. With increasing use of machine learning in these systems, we often don't even understand how exactly they are making these decisions. Zeynep Tufekci studies what this historic transition means for culture, markets, politics and personal life.
Tufekci is a contributing opinion writer at the New York Times, an associate professor at the School of Information and Library Science at University of North Carolina, Chapel Hill, and a faculty associate at Harvard's Berkman Klein Center for Internet and Society.
Her book, Twitter and Tear Gas: The Power and Fragility of Networked Protest, was published in 2017 by Yale University Press. Her next book, from Penguin Random House, will be about algorithms that watch, judge and nudge us.
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Continue readingThe advance toward a more connected, united, compassionate world is in peril. Some voices are demanding a retreat, back to a world where insular nations battle for their own interests. But most of the big problems we face are collective in nature and global in scope. What can we do, together, about it? In a […]
Continue readingFrom Hong Kong to Istanbul to New York, libraries are one of the defining elements of 21st-century demonstrations, says techno-sociologist Zeynep Tufekci, and they can help illuminate why people risk discomfort, arrest and danger to stand together.
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