Review: Term 3

Kavi curled up in the reading nook with acorn tea and a fat notebook. "Look how much we learned to judge this term!" Kavi hooted, turning the pages. "We learned to weigh data — a number can be huge and still be unfair, because big data is not automatically fair: data that leaves a whole group out is biased. We learned to verify before we trust — check the source, the date, an independent source that agrees, and whether something could be AI-made, like a deepfake. We learned ethics — do your own honest work and acknowledge any help, give attribution for work you reuse, and ask for consent before sharing someone's data. And we learned about dignity — technology should treat every person as a person, worthy of respect, never just a data point." Kavi tapped the four headings. "Four big ideas: Data, Verification, Ethics and Dignity. Let's look back and make sure every one of them stuck."