One way to make AI do good things in areas like education is to actively experiment in creating good things and share the results (whether they work or not) so others can build on those. Mitigating bad outcomes are important, but good outcomes are not automatic either, and will take collective work. Just waiting for the AI labs to develop their own ideas is not enough. Mollick goes on to share a paper titled "AI Tutoring Outperforms Active Learning" authored by Harvard faculty.
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