One of the many concepts that made an impression from the IB Workshop on AI in Teaching, Learning, and Assessment was that AI is built on an input-to-output system, with the in-between functioning as a “black box.” We do not know what happens in the black box where AI processes our inputs or prompts. Often, AI spits out disappointing results, lies, untruths, biases, and information that needs to be fact-checked. It may improve over time as it “reads” and “understands” patterns of human thinking. Nonetheless, responsible AI use begins with knowing a need, a goal, and identifying a Role, an Audience, a Context, and an Expectation when prompts are fed into the machine.
This is the crux of AI Literacy, and I
believe that we can teach this to our students as they learn the foundations of
literacy and the rudiments of language.
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