Big Data, A.I., ‘Personalized’ Learning: A Solution for Eliminating Poverty and Improving Schools?

janresseger

Tuesday’s NY Times featured a commentary whose author promotes artificial intelligence, big data, and “personalized” learning—algorithm-driven computer programs said to tailor learning to a student’s needs and interests—not only for reinventing education but for powering a new war on poverty. It is a glowing article framed as problem-solving: “Poverty, of course, is a multifaceted phenomenon. But the condition of poverty often entails one or more of these realities: a lack of income (joblessness); a lack of preparedness (education); and a dependency on government services (welfare). A.I. (artificial intelligence) can address all three.”

Clearly the author, Elisabeth A. Mason, the founding director of the Stanford Poverty and Technology Lab, isn’t a fan of dependency on government programs to provide support for people trapped in poverty, and she believes big data and artificial intelligence can match people who are out of work to, “good middle-class jobs that are going unfilled.  Today there…

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