Real Questions About Artificial Intelligence in Education
Tweet Share Email Don’t doubt it: Machine learning is hot—and getting hotter. For the past two years, public interest in building complex algorithms that automatically “learn” and improve from their own operations, or experience (rather than explicit programming) has been growing. Call it “artificial intelligence,” or (better) “machine learning.” Such work has, in fact, been going on for decades. (The Association for the Advancement of Artificial Intelligence, for instance, got rolling in 1979; some date the ideas back to the Greeks, or at least to the 1940s during the early days of programmable digital computers.) More recently, Shivon Zilis, an investor with Bloomberg Beta, has been building a landscape map of where machine learning is being applied across other industries. Education makes the list. Some technologists are worried about the dangers. Elon Musk, for instance, has been apocalyptic about his predictions, as the New Yorker wrote. He sparred this past week with a more sanguine Mark Zuckerberg. (The Atlantic covers it here.) Investors are nonetheless racing ahead: this week, Chinese language learning startup, Liulishuo, which uses machine learning algorithms to teach English to 45 million Chinese students, raised $100 million to accelerate its work. To explore what machine learning could mean…
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Real Questions About Artificial Intelligence in Education
