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Having students read @n-w-f.bsky.social’s 2009 writing on the Eliza effect and then comparing to the contemporary “GPT effect” including exercises and assignments trying to poke at a LLM chatbot to suss out limits of its abilities, tendencies, training data, etc.

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Oooh it turns out that game design educators are the best people to teach students about this topic, for all these reasons. I mean, makes sense to me (incredibly biased tone of voice). Gillian taught an AI, Design & Society class in a first year “great problems” seminar at WPI

The project was a reflexive/meta idea! Design a game to be played by every other first-year students, considering a future version of their school and how AI should or shouldn’t play a role. A couple games described are about tradeoffs (AI destroys academic workload faster but is less accurate)

…or e.g. a deck-builder simulating loss of critical thinking ability due to AI. Students were also involved in co-creating AI policies for class, to avoid prohibition dynamics and foster conversation. Mentorship from experienced students, playtesting and help desks (“benefits to going to a human!”)